Text mining and semantics: a systematic mapping study
As text semantics has an important role in text meaning, the term semantics has been seen in a vast sort of text mining studies. However, there is a lack of studies that integrate the different research branches and summarize the developed works. This paper reports a systematic mapping about semanti...
Uložené v:
| Vydané v: | Journal of the Brazilian Computer Society Ročník 23; číslo 1; s. 1 - 20 |
|---|---|
| Hlavní autori: | , , |
| Médium: | Journal Article |
| Jazyk: | English |
| Vydavateľské údaje: |
London
Springer London
01.12.2017
Sociedade Brasileira de Computação |
| Predmet: | |
| ISSN: | 0104-6500, 1678-4804 |
| On-line prístup: | Získať plný text |
| Tagy: |
Pridať tag
Žiadne tagy, Buďte prvý, kto otaguje tento záznam!
|
| Abstract | As text semantics has an important role in text meaning, the term semantics has been seen in a vast sort of text mining studies. However, there is a lack of studies that integrate the different research branches and summarize the developed works. This paper reports a systematic mapping about semantics-concerned text mining studies. This systematic mapping study followed a well-defined protocol. Its results were based on 1693 studies, selected among 3984 studies identified in five digital libraries. The produced mapping gives a general summary of the subject, points some areas that lacks the development of primary or secondary studies, and can be a guide for researchers working with semantics-concerned text mining. It demonstrates that, although several studies have been developed, the processing of semantic aspects in text mining remains an open research problem. |
|---|---|
| AbstractList | Abstract As text semantics has an important role in text meaning, the term semantics has been seen in a vast sort of text mining studies. However, there is a lack of studies that integrate the different research branches and summarize the developed works. This paper reports a systematic mapping about semantics-concerned text mining studies. This systematic mapping study followed a well-defined protocol. Its results were based on 1693 studies, selected among 3984 studies identified in five digital libraries. The produced mapping gives a general summary of the subject, points some areas that lacks the development of primary or secondary studies, and can be a guide for researchers working with semantics-concerned text mining. It demonstrates that, although several studies have been developed, the processing of semantic aspects in text mining remains an open research problem. As text semantics has an important role in text meaning, the term semantics has been seen in a vast sort of text mining studies. However, there is a lack of studies that integrate the different research branches and summarize the developed works. This paper reports a systematic mapping about semantics-concerned text mining studies. This systematic mapping study followed a well-defined protocol. Its results were based on 1693 studies, selected among 3984 studies identified in five digital libraries. The produced mapping gives a general summary of the subject, points some areas that lacks the development of primary or secondary studies, and can be a guide for researchers working with semantics-concerned text mining. It demonstrates that, although several studies have been developed, the processing of semantic aspects in text mining remains an open research problem. |
| ArticleNumber | 9 |
| Author | Rezende, Solange Oliveira Antunes, João Sinoara, Roberta Akemi |
| Author_xml | – sequence: 1 givenname: Roberta Akemi orcidid: 0000-0001-8572-2747 surname: Sinoara fullname: Sinoara, Roberta Akemi email: rsinoara@usp.br organization: Laboratório de Inteligência Computacional (LABIC), Instituto de Ciências Matemáticas e de Computação (ICMC), Universidade de São Paulo (USP) – sequence: 2 givenname: João surname: Antunes fullname: Antunes, João organization: Laboratório de Inteligência Computacional (LABIC), Instituto de Ciências Matemáticas e de Computação (ICMC), Universidade de São Paulo (USP) – sequence: 3 givenname: Solange Oliveira surname: Rezende fullname: Rezende, Solange Oliveira organization: Laboratório de Inteligência Computacional (LABIC), Instituto de Ciências Matemáticas e de Computação (ICMC), Universidade de São Paulo (USP) |
| BookMark | eNp9kE9LAzEQxYNUsFU_gLcFz6szm0my9SbFPwXBi55DuknKljZbky3Yb2_qKoigp-EN7_d4vAkbhS44xi4QrhBreZ2Qo-IloCoBRF2qIzZGqeqSaqARGwMClVIAnLBJSiuACojDmIkX994Xmza0YVmYYIvkNib0bZNuClOkfeqzzrLYmO324En9zu7P2LE36-TOv-4pe72_e5k9lk_PD_PZ7VPZcAJVoqgbjw4ab5UnQTSVMEWjuDAL4gvESlbcebC1JZkfsrJemZrQ8FopIn7K5kOu7cxKb2O7MXGvO9Pqz0cXl9rE3G7t9MIi515VxhKQAG8aIThHITxI6STkrMshaxu7t51LvV51uxhyfY1TSRVNOZfZpQZXE7uUovO6afs8QBf6aNq1RtCHvfWwt85768PeWmUSf5Hfff9jqoFJ2RuWLv7o9Cf0AaQGkRQ |
| CitedBy_id | crossref_primary_10_3233_SJI_200675 crossref_primary_10_5209_rced_73935 crossref_primary_10_1007_s12144_021_01786_5 crossref_primary_10_3390_app122010576 crossref_primary_10_1155_2021_4805537 crossref_primary_10_3390_su132212567 crossref_primary_10_1016_j_foodqual_2022_104611 crossref_primary_10_29059_cienciauat_v17i1_1562 crossref_primary_10_3390_su142113983 crossref_primary_10_1111_ggi_70111 crossref_primary_10_3390_educsci14060639 crossref_primary_10_1016_j_arcmed_2020_04_009 crossref_primary_10_12688_f1000research_167364_1 crossref_primary_10_1007_s10639_024_12564_8 crossref_primary_10_1016_j_heliyon_2023_e18768 crossref_primary_10_3233_WEB_200429 crossref_primary_10_1016_j_foodqual_2021_104270 crossref_primary_10_3390_app12094479 |
| Cites_doi | 10.1186/1471-2105-13-108 10.1016/j.eswa.2012.02.038 10.1093/bib/6.4.357 10.1007/978-3-642-20841-6_4 10.1109/WI-IAT.2010.152 10.1111/j.1749-818X.2011.00284.x 10.1515/9783598441585 10.4028/www.scientific.net/AMR.204-210.381 10.1613/jair.2669 10.1186/1472-6947-12-1 10.1145/2695664.2696055 10.1007/11575863_104 10.1145/1961209.1961211 10.1145/1324185.1324190 10.1016/j.jbi.2009.11.001 10.1109/KAM.2009.88 10.1016/j.neunet.2014.09.003 10.1145/2543581.2543593 10.1109/ICSC.2008.53 10.1109/DEXA.2013.21 10.1145/2764464 10.1109/DEST.2009.5276756 10.1016/j.jbi.2012.07.006 10.1016/j.eswa.2015.08.008 10.1109/FSKD.2011.6020066 10.3115/1572340.1572355 10.1016/j.dss.2010.11.009 10.1007/978-3-540-70939-8_22 10.1093/comjnl/bxr024 10.1109/ICDM.2008.80 10.1016/j.artmed.2011.06.005 10.1109/ICDM.2012.15 10.1007/978-3-642-33412-2_57 10.1007/s10462-012-9392-5 10.1007/s10844-015-0382-3 10.1016/j.eswa.2013.10.051 10.1145/1988688.1988694 10.1109/ICSC.2010.14 10.1145/502512.502544 10.1108/IMDS-03-2015-0098 10.7551/mitpress/7287.001.0001 10.1017/S0269888914000277 10.1016/j.infsof.2010.03.006 10.1007/s13173-013-0117-7 10.1017/S1351324909990209 10.1016/j.eswa.2014.10.023 10.1109/IALP.2011.72 10.1007/978-3-540-73354-6_80 10.1016/j.eswa.2014.08.004 10.3923/jeasci.2012.342.347 10.1109/TITB.2006.888705 10.1016/j.ijhcs.2009.05.004 10.1016/j.patrec.2009.09.011 10.1197/jamia.M2051 10.1109/ICTAI.2014.93 10.1016/j.is.2015.06.007 10.1016/j.is.2009.03.007 10.1007/978-3-540-89704-0_26 10.1109/ICSMC.2008.4811878 10.1145/2350716.2350729 10.1186/1471-2105-9-525 10.1016/j.jss.2006.07.009 10.1007/978-3-642-20841-6_15 10.1109/MITP.2014.85 10.4028/www.scientific.net/KEM.474-476.2071 10.1145/2766462.2767752 10.1177/0165551509360123 10.2498/cit.1001770 10.1016/j.eswa.2010.12.106 10.1007/978-3-642-32826-8_14 10.1109/TAAI.2011.19 10.1109/ICALIP.2012.6376631 10.1016/j.neucom.2015.09.096 10.1007/978-3-642-20291-9_18 10.1016/j.infsof.2006.10.017 10.1016/j.jbi.2009.09.007 10.1504/IJDMB.2008.020522 10.1007/978-3-642-13208-7_36 10.4028/www.scientific.net/AMR.532-533.1716 10.1109/ISISE.2010.145 10.1002/wics.1353 10.1109/ICIS.2013.6607883 10.1007/978-3-540-30228-5_25 10.1016/j.jbi.2014.11.002 10.4018/jswis.2005010101 10.1145/1390334.1390367 10.1109/CIST.2012.6388065 10.1016/j.eswa.2009.06.099 10.1093/bib/bbn043 10.1145/2632188.2632205 10.1109/ICSC.2013.54 10.1109/IALP.2012.37 10.1016/j.jbi.2008.12.009 10.1109/WI-IAT.2009.14 10.1016/j.jbi.2012.04.010 10.1007/s11704-009-0062-y 10.1007/s10844-011-0149-4 10.1016/j.eswa.2013.07.097 10.1145/1557019.1557066 10.1007/s10278-011-9411-0 10.1016/j.jbi.2011.05.007 10.1007/s10796-012-9400-y 10.1145/2365952.2365977 |
| ContentType | Journal Article |
| Copyright | The Author(s) 2017 Journal of the Brazilian Computer Society is a copyright of Springer, (2017). All Rights Reserved. |
| Copyright_xml | – notice: The Author(s) 2017 – notice: Journal of the Brazilian Computer Society is a copyright of Springer, (2017). All Rights Reserved. |
| DBID | C6C AAYXX CITATION JQ2 DOA |
| DOI | 10.1186/s13173-017-0058-7 |
| DatabaseName | Springer Nature OA Free Journals CrossRef ProQuest Computer Science Collection DOAJ Directory of Open Access Journals |
| DatabaseTitle | CrossRef ProQuest Computer Science Collection |
| DatabaseTitleList | ProQuest Computer Science Collection |
| Database_xml | – sequence: 1 dbid: DOA name: DOAJ Directory of Open Access Journals url: https://www.doaj.org/ sourceTypes: Open Website |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Computer Science |
| EISSN | 1678-4804 |
| EndPage | 20 |
| ExternalDocumentID | oai_doaj_org_article_bd133f72ad40450fac5533155f066e60 10_1186_s13173_017_0058_7 |
| GrantInformation_xml | – fundername: Conselho Nacional de Desenvolvimento Científico e Tecnológico grantid: 132666/2016-2 funderid: http://dx.doi.org/10.13039/501100003593 – fundername: Fundação de Amparo à Pesquisa do Estado de São Paulo grantid: 2014/08996-0 funderid: http://dx.doi.org/10.13039/501100001807 – fundername: Fundação de Amparo à Pesquisa do Estado de São Paulo grantid: 2013/14757-6 funderid: http://dx.doi.org/10.13039/501100001807 – fundername: Fundação de Amparo à Pesquisa do Estado de São Paulo grantid: 2016/07620-2 funderid: http://dx.doi.org/10.13039/501100001807 |
| GroupedDBID | -A0 0VY 1N0 2VQ 2WC 30V 3V. 4.4 408 40D 5GY 5VS 8FE 8FG 8TC AAFWJ AAKKN AAKPC AARHV AAYZH ABEEZ ABFTD ABUWG ABXHO ACACY ACGFS ACULB ADBBV ADINQ ADMLS AEGXH AFGXO AFKRA AFLOW AFPKN AFWTZ AGJBK AHBYD AHSBF AHYZX ALMA_UNASSIGNED_HOLDINGS AMKLP AMTXH APOWU ARAPS ARCSS ASPBG AVWKF AZFZN AZQEC BAPOH BCNDV BENPR BGLVJ BGNMA BPHCQ C1A C24 C6C CAG CCPQU COF CS3 DWQXO E3Z EBS EJD FEDTE GNUQQ GROUPED_DOAJ HCIFZ HF~ HMJXF HVGLF HZ~ K6V K7- KOV KQ8 M0N M4Y M~E NU0 O9- O93 OK1 P62 P9O PIMPY PQQKQ PROAC R9I RIG RSC RSV S27 S3B SCD SCO SOJ T13 TR2 TUS U2A VC2 WK8 XSB Z45 ~A9 AAYXX CITATION EBLON PHGZM PHGZT PQGLB AFFHD JQ2 |
| ID | FETCH-LOGICAL-c3407-158cf1e0cfd7f454496091a735ab43b112623ef0d8d4643b62df7a841a3877443 |
| IEDL.DBID | DOA |
| ISSN | 0104-6500 |
| IngestDate | Fri Oct 03 12:52:21 EDT 2025 Sat Nov 15 15:41:44 EST 2025 Sat Nov 29 03:37:31 EST 2025 Tue Nov 18 22:29:31 EST 2025 Fri Feb 21 02:32:16 EST 2025 |
| IsDoiOpenAccess | true |
| IsOpenAccess | true |
| IsPeerReviewed | true |
| IsScholarly | true |
| Issue | 1 |
| Keywords | Text mining Text semantics Systematic review |
| Language | English |
| LinkModel | DirectLink |
| MergedId | FETCHMERGED-LOGICAL-c3407-158cf1e0cfd7f454496091a735ab43b112623ef0d8d4643b62df7a841a3877443 |
| Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 |
| ORCID | 0000-0001-8572-2747 |
| OpenAccessLink | https://doaj.org/article/bd133f72ad40450fac5533155f066e60 |
| PQID | 1964249336 |
| PQPubID | 2034701 |
| PageCount | 20 |
| ParticipantIDs | doaj_primary_oai_doaj_org_article_bd133f72ad40450fac5533155f066e60 proquest_journals_1964249336 crossref_citationtrail_10_1186_s13173_017_0058_7 crossref_primary_10_1186_s13173_017_0058_7 springer_journals_10_1186_s13173_017_0058_7 |
| PublicationCentury | 2000 |
| PublicationDate | 20171200 |
| PublicationDateYYYYMMDD | 2017-12-01 |
| PublicationDate_xml | – month: 12 year: 2017 text: 20171200 |
| PublicationDecade | 2010 |
| PublicationPlace | London |
| PublicationPlace_xml | – name: London – name: Rio de Janeiro |
| PublicationTitle | Journal of the Brazilian Computer Society |
| PublicationTitleAbbrev | J Braz Comput Soc |
| PublicationYear | 2017 |
| Publisher | Springer London Sociedade Brasileira de Computação |
| Publisher_xml | – name: Springer London – name: Sociedade Brasileira de Computação |
| References | PetersenMKHansenLKOn an emotional node: modeling sentiment in graphs of action verbs2012 International Conference on Audio, Language and Image Processing2012Shanghai,IEEE30831310.1109/ICALIP.2012.6376631 DoanSKawazoeAConwayMCollierNTowards role-based filtering of disease outbreak reportsJ Biomed Inform200942577378010.1016/j.jbi.2008.12.009 Khan K, Baharudin BB, Khan A, et al (2009) Mining opinion from text documents: a survey In: DEST’09: Proceedings of the 3rd IEEE International Conference on Digital Ecosystems and Technologies, 217–222. IEEE. HuXZhangXLuCParkEKZhouXExploiting Wikipedia as external knowledge for document clusteringKDD’09: Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining2009New York,ACM38939610.1145/1557019.1557066 ZhengHTBorchertCKimHGExploiting gene ontology to conceptualize biomedical document collectionsThe Semantic Web2008Berlin,Springer37538910.1007/978-3-540-89704-0_26 MansuyTNHildermanRJEvaluating WordNet features in text classification modelsFLAIRS Conference 2006: Proceedings of the Nineteenth International Florida Artificial Intelligence Research Society Conference2006Florida,AAAI PRESS568573 SchiesslMBräscherMDo texto às ontologias: uma perspectiva para a ciência da informaçãoCiência da Informação2012402301311 YunJJingLYuJHuangHUnsupervised feature weighting based on local feature relatednessAdvances in Knowledge Discovery and Data Mining2011Berlin,Springer384910.1007/978-3-642-20841-6_4 LuoZMiottoRWengCA human–computer collaborative approach to identifying common data elements in clinical trial eligibility criteriaJ Biomed Inform2013461333910.1016/j.jbi.2012.07.006 AndreopoulosBAlexopoulouDSchroederMWord sense disambiguation in biomedical ontologies with term co-occurrence analysis and document clusteringInt J Data Min Bioinforma20082319321510.1504/IJDMB.2008.020522 StavrianouAAndritsosPNicoloyannisNOverview and semantic issues of text miningSIGMOD Rec2007363233410.1145/1324185.1324190 FreitasAO’RiainSCurryEda SilvaJCPCarvalhoDSRepresenting texts as contextualized entity-centric linked data graphsDEXA 2013: Proceedings of the 24th International Workshop on Database and Expert Systems Applications2013Los Alamitos,IEEE13313710.1109/DEXA.2013.21 Mostafa MS, Haggag MH, Gomaa WH (2008) Document clustering using word sense disambiguation In: SEDE 2008: Proceedings of 17th International Conference on Software Engineering and Data Engineering, 19–24. PetersenKFeldtRMujtabaSMattssonMSystematic mapping studies in software engineeringEASE 2008: Proceedings of the 12th International Conference on Evaluation and Assessment in Software Engineering. EASE’082008Swinton, UKBritish Computer Society6877 WimalasuriyaDCDouDOntology-based information extraction: an introduction and a survey of current approachesJ Inf Sci201036330632310.1177/0165551509360123 AlencarRODDavis JrCAGonçalvesMAGeographical classification of documents using evidence from WikipediaGIR ’10: Proceedings of the 6th Workshop on Geographic Information Retrieval2010New York,ACM1212 JinBMullerBZhaiCLuXMulti-label literature classification based on the Gene Ontology graphBMC Bioinforma20089152510.1186/1471-2105-9-525 LogeswariSPremalathaKBiomedical document clustering using ontology based concept weightICCCI 2013: Proceedings of the International Conference on Computer Communication and Informatics2013Coimbatore,IEEE14 KuhnADucasseSGírbaTSemantic clustering: identifying topics in source codeInf Softw Technol20074923024310.1016/j.infsof.2006.10.017 TorunogluDTelserenGSagturkOGanizMCWikipedia based semantic smoothing for twitter sentiment classificationINISTA 2013: Proceedings of the IEEE International Symposium on Innovations in Intelligent Systems and Applications2013AlbenaIEEE15 HuPHeTJiDWangMA study of Chinese text summarization using adaptive clustering of paragraphsCIT’04: Proceedings of the Fourth International Conference on Computer and Information Technology2004Wuhan,IEEE11591164 KumarVMinzSMood classifiaction of lyrics using SentiWordNetICCCI 2013: Proceedings of the International Conference on Computer Communication and Informatics2013Coimbatore,IEEE15 MizzaroSPavanMScagnettoIValentiMShort text categorization exploiting contextual enrichment and external knowledgeProceedings of the First International Workshop on Social Media Retrieval and Analysis2014New York,ACM5762 Rebholz-SchuhmannDJimeno-YepesAArreguiMKirschHMeasuring prediction capacity of individual verbs for the identification of protein interactionsJ Biomed Inform201043220020710.1016/j.jbi.2009.09.007 WaltingerUMehlerASocial semantics and its evaluation by means of semantic relatedness and open topic modelsWI-IAT’09: Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology-Volume 012009Milan,IEEE Computer Society424910.1109/WI-IAT.2009.14 MinerGElderJHillTNisbetRDelenDFastAPractical text mining and statistical analysis for non-structured text data applications2012BostonAcademic Press KrachinaORaskinVTriezenbergKReconciling privacy policies and regulations: ontological semantics perspectiveHuman Interface and the Management of Information. Interacting in Information Environments2007Berlin,Springer73073910.1007/978-3-540-73354-6_80 BreretonPKitchenhamBABudgenDTurnerMKhalilMLessons from applying the systematic literature review process within the software engineering domainJ Syst Softw200780457158310.1016/j.jss.2006.07.009 MannaiMBen Abdessalem KaraaWBayesian information extraction network for Medline abstract.2013 World Congress on Computer and Information Technology (WCCIT)2013Sousse,IEEE13. GujraniyaDMurtyMNEfficient classification using phrases generated by topic modelsICPR 2012: Proceedings of the 21st International Conference on Pattern Recognition2012Tsukuba,IEEE23312334 DuCZhuangFHeQShiZMulti-task semi-supervised semantic feature learning for classificationICDM 2012: Proceedings of the IEEE 12th International Conference on Data Mining2012Brussels,IEEE19120010.1109/ICDM.2012.15http://ieeexplore.ieee.org/document/6413903/. W, 3C - Semantic Web Health Care and Life Sciences Interest Group. https://www.w3.org/blog/hcls/. Accessed 8 June 2016. BatetMVallsAGibertKPerformance of ontology-based semantic similarities in clusteringArtificial Intelligence and Soft Computing2010Berlin,Springer28128810.1007/978-3-642-13208-7_36 GabrilovichEMarkovitchSWikipedia-based semantic interpretation for natural language processingJ Artif Intell Res2009344434981182.68319 WangPXuBXuJTianGLiuCLHaoHSemantic expansion using word embedding clustering and convolutional neural network for improving short text classificationNeurocomputing201617480681410.1016/j.neucom.2015.09.096 Princeton University - WordNet. http://wordnet.princeton.edu/. Accessed 8 June 2016. HeWShenJTianXLiYAkulaVYanGGaining competitive intelligence from social media data: evidence from two largest retail chains in the worldInd Manag Data Syst201511591622163610.1108/IMDS-03-2015-0098 KontosJMalagardiIAlexandrisCBouligarakiMGreek verb semantic processing for stock market text miningNLP’00: Proceedings of the Second International Conference on Natural Language Processing2000LondonSpringer-Verlag395405 Wikipedia. https://www.wikipedia.org/. Accessed 8 June 2016. FroudHLachkarAOuatikSAStemming versus light stemming for measuring the simitilarity between Arabic words with latent semantic analysis model2012 Colloquium in Information Science and Technology2012Fez,IEEE697310.1109/CIST.2012.6388065 ACM - Asian and Low-Resource Language Information Processing (TALLIP). http://tallip.acm.org/. Accessed 8 June 2016. JingLYunJYuJHuangJHigh-order co-clustering text data on semantics-based representation modelAdvances in Knowledge Discovery and Data Mining2011Berlin,Springer17118210.1007/978-3-642-20841-6_15 KrajewskiRRybinskiHKozlowskiMA novel method for dictionary translationJ Intell Inf Syst201647349151410.1007/s10844-015-0382-3 EugenioBDGreenNSubbaRDetecting life events in feeds from TwitterICSC 2013: Proceedings of the IEEE Seventh International Conference on Semantic Computing2013Irvine,IEEE27427710.1109/ICSC.2013.54http://ieeexplore.ieee.org/document/6693529/. EgoziOMarkovitchSGabrilovichEConcept-based information retrieval using explicit semantic analysisACM Trans Inf Syst20112928:18:3410.1145/1961209.1961211 AljaberBMartinezDStokesNBaileyJImproving MeSH classification of biomedical articles using citation contextsJ Biomed Inform201144588189610.1016/j.jbi.2011.05.007 JanikMKochutKJWikipedia in action: ontological knowledge in text categorizationICSC 2008: Proceedings of the International Conference on Semantic Computing2008Santa Monica,IEEE26827510.1109/ICSC.2008.53 Unified Medical Language System (UMLS) Metathesaurus. https://www.nlm.nih.gov/research/umls/knowledge_sources/metathesaurus/. Accessed 8 June 2016. BleiDMNgAYJordanMILatent Dirichlet allocationJ Mach Learn Res20033Jan99310221112.68379 SentiWordNet. http://sentiwordnet.isti.cnr.it/. Accessed 8 June 2016. KayedABuilding e-laws ontology: new approachProceedings of the On the Move to Meaningful Internet Systems 2005: OTM 2005 Workshops2005Berlin,Springer82683510.1007/11575863_104 LiJZhaoYLiuBFully automatic text categorization by exploiting wordnetInformation Retrieval Technology2009Berlin,Springer112 DaudALiJZhouLMuhammadFKnowledge discovery through directed probabilistic topic models: a surveyFront Comput Sci China20104228030110.1007/s11704-009-0062-y KimKChungBSChoiYLeeSJungJYParkJLanguage independent semantic kernels for short-text classificationExpert Syst Appl201441273574310.1016/j.eswa.2013.07.097 VeselovskáKSentence-level sentiment analysis in CzechWIMS’12:Proceedings of the 2Nd International Conference on Web Intelligence, Mining and Semantics2012New York,ACM65:165:4 SevensterMvan OmmeringRQianYAutomatically correlating clinical findings and body locations in radiology reports using MedLEEJ Digit Imaging201225224024910.1007/s10278-011-9411-0 XiaNLinHYangZLiYCombining multiple disambiguation methods for ge BD Eugenio (58_CR43) 2013 58_CR137 58_CR131 D Gujraniya (58_CR58) 2012 HJA Kim (58_CR74) 2015 AK Nassirtoussi (58_CR112) 2015; 42 R Koeling (58_CR133) 2007 BC Wallace (58_CR23) 2015; 43 A Martinez (58_CR30) 2015; 7 TA Wei (58_CR67) 2015; 42 A Al Nasseri (58_CR93) 2015; 42 D Roussinov (58_CR90) 2009; 34 B Andreopoulos (58_CR132) 2008; 2 TN Mansuy (58_CR69) 2006 58_CR63 F Ginter (58_CR102) 2004 58_CR65 P Brereton (58_CR5) 2007; 80 58_CR66 ZY Zhu (58_CR86) 2011; 474 F Goossen (58_CR127) 2011 S Volkova (58_CR163) 2010 A Kayed (58_CR161) 2005 J Schmidhuber (58_CR149) 2015; 61 E Gabrilovich (58_CR129) 2007 W He (58_CR47) 2015; 115 J Hu (58_CR167) 2008 I Stankov (58_CR139) 2013; 17 W He (58_CR48) 2016; 56 58_CR73 M Janik (58_CR79) 2008 E Gabrilovich (58_CR76) 2009; 34 LC Yu (58_CR40) 2007; 11 S Basu (58_CR72) 2001 (58_CR2) 2012 58_CR118 K Petersen (58_CR4) 2008 J Chen (58_CR52) 2009 A Daud (58_CR16) 2010; 4 DM Blei (58_CR121) 2003; 3 ROD Alencar (58_CR146) 2010 M Ciaramita (58_CR56) 2005 C Du (58_CR59) 2012 B Kitchenham (58_CR6) 2010; 52 W Wang (58_CR135) 2010 M Batet (58_CR71) 2010 S Logeswari (58_CR100) 2013 58_CR82 HT Zheng (58_CR104) 2008 K Veselovská (58_CR114) 2012 G Bharathi (58_CR18) 2012; 7 D Torunoglu (58_CR44) 2013 58_CR80 S Doan (58_CR141) 2009; 42 L Jing (58_CR158) 2011 58_CR88 58_CR107 R Domínguez García (58_CR116) 2012; 7181 LNCS 58_CR103 R Li (58_CR151) 2015; 9077 JL Wu (58_CR38) 2012; 12 L Plaza (58_CR97) 2011; 53 M Sevenster (58_CR162) 2012; 25 CL Chen (58_CR51) 2011 G Bharathi (58_CR110) 2012; 36 XY Cheng (58_CR29) 2011; 204 58_CR92 KR Felizardo (58_CR7) 2014 PH Pisani (58_CR10) 2013; 19 58_CR95 I Vulić (58_CR155) 2015 N Xia (58_CR36) 2011; 38 Z Luo (58_CR160) 2013; 46 CY Lu (58_CR168) 2010; 37 58_CR91 CH Huang (58_CR140) 2011; 34 58_CR12 58_CR13 58_CR14 U Leser (58_CR25) 2005; 6 Q Wu (58_CR60) 2011 B Aljaber (58_CR98) 2011; 44 58_CR99 M Mannai (58_CR106) 2013 Z Liu (58_CR123) 2011 R Navigli (58_CR130) 2011 VN Garla (58_CR96) 2012; 45 A Kamal (58_CR156) 2012 R Winnenburg (58_CR24) 2008; 9 H Froud (58_CR119) 2012 R Irfan (58_CR27) 2015; 30 Y Shin (58_CR70) 2015 KE Ravikumar (58_CR35) 2011 Q Cao (58_CR45) 2011; 50 K Kim (58_CR57) 2014; 41 MK Petersen (58_CR115) 2012 58_CR171 C Blake (58_CR166) 2010; 43 C Fellbaum (58_CR64) 1998 M Schiessl (58_CR20) 2012; 40 A Stavrianou (58_CR15) 2007; 36 A Huang (58_CR128) 2008 A Levi (58_CR46) 2012 D Rebholz-Schuhmann (58_CR136) 2010; 43 O Medelyan (58_CR81) 2009; 67 X Lu (58_CR61) 2006; 13 A Sheth (58_CR28) 2005; 1 A Kuhn (58_CR120) 2007; 49 O Krachina (58_CR54) 2007 J Wu (58_CR62) 2010 I Fathy (58_CR144) 2012 58_CR169 R Batool (58_CR113) 2013 J Jovanovic (58_CR22) 2014; 16 D Rusu (58_CR53) 2009; 33 58_CR165 X Meng (58_CR142) 2008 SH Nguyen (58_CR101) 2012 S Mizzaro (58_CR78) 2014 R Chau (58_CR148) 2009 AK Jain (58_CR170) 2010; 31 J Kontos (58_CR138) 2000 J Wu (58_CR145) 2011; 7 FA Moghaddam (58_CR8) 2015; 47 L García-Moya (58_CR42) 2013; 15 H Aghassi (58_CR109) 2012; 295 CCIS 58_CR3 T Andreasen (58_CR126) 2011 58_CR32 58_CR33 L Kong (58_CR157) 2011 Z Liu (58_CR84) 2010 P Hu (58_CR85) 2004 W Xiang (58_CR124) 2013; 96 J Bos (58_CR31) 2011; 5 58_CR49 V Kumar (58_CR94) 2013 D Thorleuchter (58_CR89) 2014; 41 B Jin (58_CR105) 2008; 9 58_CR154 M Zrigui (58_CR122) 2012; 20 U Waltinger (58_CR164) 2009 AB Abacha (58_CR39) 2011; 6609 LNCS RWD Pedro (58_CR9) 2013; 46 R Krajewski (58_CR159) 2016; 47 J Punuru (58_CR117) 2012; 38 G Spanakis (58_CR125) 2012; 55 X Hu (58_CR77) 2009 C Musto (58_CR41) 2015; 54 D Zheng (58_CR87) 2011 DH Park (58_CR11) 2012; 39 DC Wimalasuriya (58_CR17) 2010; 36 MG Sohrab (58_CR152) 2015; 9077 G Miner (58_CR1) 2012 I Dagan (58_CR26) 2009; 15 O Egozi (58_CR111) 2011; 29 58_CR147 M Miwa (58_CR34) 2012; 13 T Mansuy (58_CR55) 2006 P Wang (58_CR153) 2016; 174 A Sharma (58_CR134) 2010 P Cimiano (58_CR21) 2006; 57 J Li (58_CR68) 2009 A Sarker (58_CR37) 2015; 53 J Yun (58_CR75) 2011 58_CR50 W Hengliang (58_CR108) 2012; 4 CX Jin (58_CR83) 2012; 532 R Lebret (58_CR150) 2015; 9041 V Reshadat (58_CR19) 2012; 4 A Freitas (58_CR143) 2013 |
| References_xml | – reference: WangPXuBXuJTianGLiuCLHaoHSemantic expansion using word embedding clustering and convolutional neural network for improving short text classificationNeurocomputing201617480681410.1016/j.neucom.2015.09.096 – reference: KitchenhamBPretoriusRBudgenDBreretonOPTurnerMNiaziMSystematic literature reviews in software engineering—a tertiary studyInf Softw Technol201052879280510.1016/j.infsof.2010.03.006 – reference: KimHJAHongKJAChangJYbSemantically enriching text representation model for document clusteringProceedings of the ACM Symposium on Applied Computing,2015New York,ACM92292510.1145/2695664.2696055http://dl.acm.org.ez67.periodicos.capes.gov.br/citation.cfm?id=2696055. – reference: WuJLYuLCChangPCDetecting causality from online psychiatric texts using inter-sentential language patternsBMC Med Inform Dec Making201212111010.1186/1472-6947-12-1 – reference: ShinYAhnYKimHLeeSGExploiting synonymy to measure semantic similarity of sentencesIMCOM ’15: Proceedings of the 9th International Conference on Ubiquitous Information Management and Communication2015New York,ACM40:140:4 – reference: Unified Medical Language System (UMLS) Metathesaurus. https://www.nlm.nih.gov/research/umls/knowledge_sources/metathesaurus/. Accessed 8 June 2016. – reference: LuCYLinSHLiuJCCruz-LaraSHongJSAutomatic event-level textual emotion sensing using mutual action histogram between entitiesExpert Syst Appl20103721643165310.1016/j.eswa.2009.06.099 – reference: VeselovskáKSentence-level sentiment analysis in CzechWIMS’12:Proceedings of the 2Nd International Conference on Web Intelligence, Mining and Semantics2012New York,ACM65:165:4 – reference: GinterFPyysaloSBobergJJärvinenJSalakoskiTOntology-based feature transformations: a data-driven approachAdvances in Natural Language Processing2004Berlin,Springer27929010.1007/978-3-540-30228-5_25 – reference: PisaniPHLorenaACA systematic review on keystroke dynamicsJ Braz Comput Soc201319457358710.1007/s13173-013-0117-7 – reference: JinBMullerBZhaiCLuXMulti-label literature classification based on the Gene Ontology graphBMC Bioinforma20089152510.1186/1471-2105-9-525 – reference: MedelyanOMilneDLeggCWittenIHMining meaning from WikipediaInt J Human-Computer Stud200967971675410.1016/j.ijhcs.2009.05.004 – reference: HuangCHYinJHouFA text similarity measurement combining word semantic information with TF-IDF methodJisuanji Xuebao(Chin J Comput)2011345856864 – reference: FelizardoKRNakagawaEYMacDonellSGMaldonadoJCA visual analysis approach to update systematic reviewsEASE’14: Proceedings of the 18th International Conference on Evaluation and Assessment in Software Engineering2014New YorkACM4:14:10 – reference: WuQZhangCDengXJiangCLDA-based model for topic evolution mining on textICCSE 2011: Proceedings of the 6th International Conference on Computer Science & Education2011Singapore,IEEE946949 – reference: FathyIFadlDArefMRich semantic representation based approach for text generationINFOS 2012: Proceedings of the 8th International Conference on Informatics and Systems2012Cairo,IEEENLP20 – reference: HeWTianXChenYChongDActionable social media competitive analytics for understanding customer experiencesJ Comput Inf Syst2016562145155 – reference: GujraniyaDMurtyMNEfficient classification using phrases generated by topic modelsICPR 2012: Proceedings of the 21st International Conference on Pattern Recognition2012Tsukuba,IEEE23312334 – reference: National Center for Biotechnology Information - PubMed. http://www.ncbi.nlm.nih.gov/pubmed/. Accessed 8 June 2016. – reference: CiaramitaMGangemiARatschEŠaricJRojasIUnsupervised learning of semantic relations between concepts of a molecular biology ontologyIJCAI’05: Proceedings of the 19th International Joint Conference on Artificial Intelligence2005San Francisco, CAMorgan Kaufmann Publishers Inc.659664 – reference: WangWZhaoDZouLWangDZhengWExtracting 5W1H event semantic elements from Chinese online newsWAIM 2010: Proceedings of the Workshops of the 11th International Conference on Web-Age Information Management2010Berlin,Springer644655 – reference: ZhuZYDongSJYuCLHeJA text hybrid clustering algorithm based on HowNet semanticsKey Eng Mater20114742071207810.4028/www.scientific.net/KEM.474-476.2071 – reference: FreitasAO’RiainSCurryEda SilvaJCPCarvalhoDSRepresenting texts as contextualized entity-centric linked data graphsDEXA 2013: Proceedings of the 24th International Workshop on Database and Expert Systems Applications2013Los Alamitos,IEEE13313710.1109/DEXA.2013.21 – reference: YuLCWuCHJangFLPsychiatric consultation record retrieval using scenario-based representation and multilevel mixture modelIEEE IEEE Trans Inf Technol Biomed200711441542710.1109/TITB.2006.888705 – reference: MansuyTNHildermanRJEvaluating WordNet features in text classification modelsFLAIRS Conference 2006: Proceedings of the Nineteenth International Florida Artificial Intelligence Research Society Conference2006Florida,AAAI PRESS568573 – reference: Wordle. http://www.wordle.net/. Accessed 15 June 2016. – reference: ReshadatVFeizi-DerakhshiMRStudying of semantic similarity methods in ontologyRes J Appl Sci Eng Technol201241218151821 – reference: HeWShenJTianXLiYAkulaVYanGGaining competitive intelligence from social media data: evidence from two largest retail chains in the worldInd Manag Data Syst201511591622163610.1108/IMDS-03-2015-0098 – reference: Princeton University - WordNet. http://wordnet.princeton.edu/. Accessed 8 June 2016. – reference: RavikumarKELiuHCohnJDWallMEVerspoorKPattern learning through distant supervision for extraction of protein-residue associations in the biomedical literature, vol. 2. pp 59–652011HonoluluIEEEhttp://ieeexplore.ieee.org/document/6147049/. – reference: SentiWordNet. http://sentiwordnet.isti.cnr.it/. Accessed 8 June 2016. – reference: LiuZLiMLiuYPonrajMPerformance evaluation of latent Dirichlet allocation in text miningFSKD 2011: Proceedings of the Eighth International Conference on Fuzzy Systems and Knowledge Discovery2011ShanghaiIEEE2695269810.1109/FSKD.2011.6020066 – reference: Domínguez GarcíaRSchmidtSRensingCSteinmetzRAutomatic taxonomy extraction in different languages using wikipedia and minimal language-specific informationLect Notes Comp Sci (Incl Subseries Lect Notes Artif Intell Lect Notes Bioinforma)20127181 LNCSPART 14253 – reference: LeserUHakenbergJWhat makes a gene name? Named entity recognition in the biomedical literatureBrief Bioinform20056435736910.1093/bib/6.4.357 – reference: XiangWYanJRuhuaCHuaFImproving text categorization with semantic knowledge in WikipediaIEICE Trans Inf Syst2013961227862794 – reference: AggarwalCCZhaiCMining text data2012DurhamSpringer – reference: WinnenburgRWächterTPlakeCDomsASchroederMFacts from text: can text mining help to scale-up high-quality manual curation of gene products with ontologies?Brief Bioinform20089646647810.1093/bib/bbn043 – reference: GabrilovichEMarkovitchSWikipedia-based semantic interpretation for natural language processingJ Artif Intell Res2009344434981182.68319 – reference: PunuruJChenJLearning non-taxonomical semantic relations from domain textsJ Intell Inf Syst201238119120710.1007/s10844-011-0149-4 – reference: Kitchenham B, Charters S (2007) Guidelines for performing systematic literature reviews in software engineering. EBSE Technical Report EBSE-2007-01. Keele University and Durham University Joint Report, Durham, UK. – reference: WaltingerUMehlerASocial semantics and its evaluation by means of semantic relatedness and open topic modelsWI-IAT’09: Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology-Volume 012009Milan,IEEE Computer Society424910.1109/WI-IAT.2009.14 – reference: García-MoyaLKudamaSAramburuMJBerlangaRStoring and analysing voice of the market data in the corporate data warehouseInf Syst Front201315333134910.1007/s10796-012-9400-y – reference: AbachaABZweigenbaumPA hybrid approach for the extraction of semantic relations from MEDLINE abstractsLect Notes Comput Sci (Incl Subseries Lect Notes Artif Intell Lect Notes Bioinforma)20116609 LNCSPART 2139150 – reference: Mostafa MS, Haggag MH, Gomaa WH (2008) Document clustering using word sense disambiguation In: SEDE 2008: Proceedings of 17th International Conference on Software Engineering and Data Engineering, 19–24. – reference: GarlaVNBrandtCOntology-guided feature engineering for clinical text classificationJ Biomed Inform201245599299810.1016/j.jbi.2012.04.010 – reference: BosJA survey of computational semantics: representation, inference and knowledge in wide-coverage text understandingLang Linguist Compass20115633636610.1111/j.1749-818X.2011.00284.x – reference: SchiesslMBräscherMDo texto às ontologias: uma perspectiva para a ciência da informaçãoCiência da Informação2012402301311 – reference: ChengXYChengCZhuQThe applications of description logics in natural language processingAdv Mater Res201120438138610.4028/www.scientific.net/AMR.204-210.381 – reference: ZhengHTBorchertCKimHGExploiting gene ontology to conceptualize biomedical document collectionsThe Semantic Web2008Berlin,Springer37538910.1007/978-3-540-89704-0_26 – reference: HuangAMilneDFrankEWittenIHClustering documents with active learning using WikipediaICDM’08: Eighth IEEE International Conference on Data Mining2008Pisa,IEEE83984410.1109/ICDM.2008.80 – reference: MiwaMThompsonPMcNaughtJKellDBAnaniadouSExtracting semantically enriched events from biomedical literatureBMC Bioinforma201213112410.1186/1471-2105-13-108 – reference: LiJZhaoYLiuBFully automatic text categorization by exploiting wordnetInformation Retrieval Technology2009Berlin,Springer112 – reference: ChenJLiuJYuWWuPCombining lexical stability and improved lexical chain for unsupervised word sense disambiguationKAM’09: Proceedings of the Second International Symposium on Knowledge Acquisition and Modeling2009WuhanIEEE43043310.1109/KAM.2009.88http://ieeexplore.ieee.org/document/5362135/. – reference: JanikMKochutKJWikipedia in action: ontological knowledge in text categorizationICSC 2008: Proceedings of the International Conference on Semantic Computing2008Santa Monica,IEEE26827510.1109/ICSC.2008.53 – reference: PedroRWDNunesFLSMachado-LimaAUsing grammars for pattern recognition in images: a systematic reviewACM Comput Surv201346226:126:3410.1145/2543581.2543593 – reference: RusuDFortunaBGrobelnikMMladenicDSemantic graphs derived from triplets with application in document summarizationInformatica (Slovenia)2009333357362 – reference: Ahmed ST, Nair R, Patel C, Davulcu H (2009) BioEve: bio-molecular event extraction from text using semantic classification and dependency parsing In: BioNLP’09: Proceedings of the Workshop on Current Trends in Biomedical Natural Language Processing: Shared Task, 99–102. Association for Computational Linguistics. – reference: JovanovicJBagheriECuzzolaJGasevicDJeremicZBashashRAutomated semantic tagging of textual contentIT Prof2014166384610.1109/MITP.2014.85 – reference: Grobelnik M (2011) Many faces of text processing In: WIMS’11: Proceedings of the International Conference on Web Intelligence, Mining and Semantics, 5. ACM. – reference: Van Der Horn P, Bakker B, Geleijnse G, Korst J, Kurkin S (2008) Classifying verbs in biomedical text using subject-verb-object relationships In: SMBM 2008: Proceedings of the 3rd International Symposium on Semantic Mining in Biomedicine, 137–140. – reference: SarkerAGonzalezGPortable automatic text classification for adverse drug reaction detection via multi-corpus trainingJ Biomed Inform20155319620710.1016/j.jbi.2014.11.002 – reference: Al NasseriATuckerAde CesareSQuantifying StockTwits semantic terms’ trading behavior in financial markets: an effective application of decision tree algorithmsExpert Syst Appl201542239192921010.1016/j.eswa.2015.08.008 – reference: SevensterMvan OmmeringRQianYAutomatically correlating clinical findings and body locations in radiology reports using MedLEEJ Digit Imaging201225224024910.1007/s10278-011-9411-0 – reference: WuJDangYPanDXuanZLiuQTextual knowledge representation through the semantic-based graph structure in clustering applicationsHICSS 2010: Proceedings of the 43rd Hawaii International Conference on System Sciences2010Washington,IEEE18 – reference: ZriguiMAyadiRMarsMMaraouiMArabic text classification framework based on latent dirichlet allocationJ Comput Inf Technol2012202125140 – reference: MartinezAMartinezWAt the interface of computational linguistics and statisticsWiley Interdiscip Rev Comput Stat201574258274336660710.1002/wics.1353 – reference: WeiTALuYCChangHBZhouQABaoXDA semantic approach for text clustering using WordNet and lexical chainsExpert Syst Appl20154242264227510.1016/j.eswa.2014.10.023 – reference: BasuSMooneyRJPasupuletiKVGhoshJEvaluating the novelty of text-mined rules using lexical knowledgeKDD’01: Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining2001San Francisco,ACM23323810.1145/502512.502544 – reference: FellbaumCWordNet: an electronic lexical database1998CambridgeMIT Press0913.68054 – reference: JingLYunJYuJHuangJHigh-order co-clustering text data on semantics-based representation modelAdvances in Knowledge Discovery and Data Mining2011Berlin,Springer17118210.1007/978-3-642-20841-6_15 – reference: MustoCSemeraroGLopsPGemmisMDCrowdPulse: a framework for real-time semantic analysis of social streamsInf Syst20155412714610.1016/j.is.2015.06.007 – reference: KrachinaORaskinVTriezenbergKReconciling privacy policies and regulations: ontological semantics perspectiveHuman Interface and the Management of Information. Interacting in Information Environments2007Berlin,Springer73073910.1007/978-3-540-73354-6_80 – reference: NassirtoussiAKAghabozorgiSWahTYNgoDCLText mining of news-headlines for FOREX market prediction: a multi-layer dimension reduction algorithm with semantics and sentimentExpert Syst Appl201542130632410.1016/j.eswa.2014.08.004 – reference: HowNet Knowledge Database. http://www.keenage.com/. Accessed 8 June 2016. – reference: SpanakisGSiolasGStafylopatisAExploiting Wikipedia knowledge for conceptual hierarchical clustering of documentsComput J20125532993121198.6827410.1093/comjnl/bxr024 – reference: ACM - Asian and Low-Resource Language Information Processing (TALLIP). http://tallip.acm.org/. Accessed 8 June 2016. – reference: Kanavos A, Makris C, Theodoridis E (2012) On topic categorization of PubMed query results In: Artificial Intelligence Applications and Innovations, 556–565. Springer. – reference: StankovITodorovDSetchiREnhanced cross-domain document clustering with a semantically enhanced text stemmer (SETS)Int J Knowl-Based Intell Eng Syst2013172113126 – reference: CaoQDuanWGanQExploring determinants of voting for the “helpfulness” of online user reviews: a text mining approachDecis Support Syst201150251152110.1016/j.dss.2010.11.009 – reference: KrajewskiRRybinskiHKozlowskiMA novel method for dictionary translationJ Intell Inf Syst201647349151410.1007/s10844-015-0382-3 – reference: Wang R (2010) Cognitive-based emotion classifier of Chinese vocabulary design In: ISISE 2010: Proceedings of the International Symposium on Information Science and Engineering, 582–585. IEEE. – reference: EugenioBDGreenNSubbaRDetecting life events in feeds from TwitterICSC 2013: Proceedings of the IEEE Seventh International Conference on Semantic Computing2013Irvine,IEEE27427710.1109/ICSC.2013.54http://ieeexplore.ieee.org/document/6693529/. – reference: GoossenFIJntemaWFrasincarFHogenboomFKaymakUNews personalization using the CF-IDF semantic recommenderWIMS’11: Proceedings of the International Conference on Web Intelligence, Mining and Semantics2011New York,ACM1010 – reference: MansuyTHildermanRJA characterization of WordNet features in Boolean models for text classificationAusDM 2006: Proceedings of the fifth Australasian Conference on Data Mining and Analystics2006Darlinghurst,Australian Computer Society, Inc103109 – reference: Zelikovitz S, Kogan M (2006) Using Web searches on important words to create background sets for LSI classification In: FLAIRS Conference 2006: Proceedings of the Nineteenth International Florida Artificial Intelligence Research Society Conference, 298–603. – reference: KoelingRMcCarthyDCarrollJText categorization for improved priors of word meaningComputational Linguistics and Intelligent Text Processing2007Berlin,Springer24125210.1007/978-3-540-70939-8_22 – reference: LebretRCollobertRRehabilitation of count-based models for word vector representationsLect Notes Comput Sci (Incl Subseries Lect Notes Artif Intell Lect Notes Bioinforma)20159041417429 – reference: YunJJingLYuJHuangHUnsupervised feature weighting based on local feature relatednessAdvances in Knowledge Discovery and Data Mining2011Berlin,Springer384910.1007/978-3-642-20841-6_4 – reference: BharathiGVenkatesanDImproving information retrieval using document clusters and semantic synonym extractionJ Theor Appl Inf Technol2012362167173 – reference: WimalasuriyaDCDouDOntology-based information extraction: an introduction and a survey of current approachesJ Inf Sci201036330632310.1177/0165551509360123 – reference: LiuZYuWChenWWangSWuFShort text feature selection for micro-blog miningCiSE 2010: Proceedings of the International Conference on Computational Intelligence and Software Engineering2010Wuhan,IEEE14 – reference: CimianoPVölkerJStuderROntologies on demand?—a description of the state-of-the-art, applications, challenges and trends for ontology learning from textInf Wiss Prax2006576-7315320 – reference: EgoziOMarkovitchSGabrilovichEConcept-based information retrieval using explicit semantic analysisACM Trans Inf Syst20112928:18:3410.1145/1961209.1961211 – reference: NavigliRFaralliSSoroaAde LacalleOAgirreETwo birds with one stone: learning semantic models for text Categorization and word sense disambiguationCIKM’11: Proceedings of the 20th ACM International Conference on Information and Knowledge Management2011Glasgow,ACM23172320 – reference: JinCXZhouHYBaiQCShort text clustering algorithm with feature keyword expansionAdv Mater Res20125321716172010.4028/www.scientific.net/AMR.532-533.1716 – reference: ZhengDLiuHZhaoTSearch results clustering based on a linear weighting method of similarityIALP 2011: Proceedings of the International Conference on Asian Language Processing2011Penang,IEEE12312610.1109/IALP.2011.72 – reference: KumarVMinzSMood classifiaction of lyrics using SentiWordNetICCCI 2013: Proceedings of the International Conference on Computer Communication and Informatics2013Coimbatore,IEEE15 – reference: MoghaddamFALagoPGrossoPEnergy-efficient networking solutions in cloud-based environments: a systematic literature reviewACM Comput Surv201547464:164:3210.1145/2764464 – reference: Weller K, et al (2007) Folksonomies and ontologies: two new players in indexing and knowledge representation In: Proceedings of the Online Information Conference, 108–115. – reference: Wikipedia. https://www.wikipedia.org/. Accessed 8 June 2016. – reference: AljaberBMartinezDStokesNBaileyJImproving MeSH classification of biomedical articles using citation contextsJ Biomed Inform201144588189610.1016/j.jbi.2011.05.007 – reference: LuoZMiottoRWengCA human–computer collaborative approach to identifying common data elements in clinical trial eligibility criteriaJ Biomed Inform2013461333910.1016/j.jbi.2012.07.006 – reference: LeviAMokrynODiotCTaftNFinding a needle in a haystack of reviews: cold start context-based hotel recommender systemRecSys’12: Proceedings of the sixth ACM Conference on Recommender Systems2012New YorkACM11512210.1145/2365952.2365977 – reference: AghassiHSheykhlarZExtending information retrieval by adjusting text feature vectorsCommun Comput Inform Sci2012295 CCIS13314210.1007/978-3-642-32826-8_14 – reference: IrfanRKingCKGragesDEwenSKhanSUMadaniSAA survey on text mining in social networksKnowl Eng Rev2015300215717010.1017/S0269888914000277 – reference: Weller K (2010) Knowledge representation in the social semantic web. Walter de Gruyter. – reference: VulićIMoensMFMonolingual and cross-lingual information retrieval models based on (Bilingual) word embeddingsSIGIR’15: Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval2015New York,ACM36337210.1145/2766462.2767752 – reference: MinerGElderJHillTNisbetRDelenDFastAPractical text mining and statistical analysis for non-structured text data applications2012BostonAcademic Press – reference: KimKChungBSChoiYLeeSJungJYParkJLanguage independent semantic kernels for short-text classificationExpert Syst Appl201441273574310.1016/j.eswa.2013.07.097 – reference: Zhang C, Zhang L, Wang CJ, Xie JY (2014) Text summarization based on sentence selection with semantic representation In: Proceedings of the International Conference on Tools with Artificial Intelligence,Vol. 2014-December. IEEE, Limassol. 584–590. – reference: RoussinovDTuretkenOExploring models for semantic category verificationInf Syst200934875376510.1016/j.is.2009.03.007 – reference: ChenCLLiuCLChangYCTsaiHPMining opinion holders and opinion patterns in US financial statementsTAAI 2011: Proceedings of the International Conference on Technologies and Applications of Artificial Intelligence2011Chung-Li,IEEE626810.1109/TAAI.2011.19 – reference: MizzaroSPavanMScagnettoIValentiMShort text categorization exploiting contextual enrichment and external knowledgeProceedings of the First International Workshop on Social Media Retrieval and Analysis2014New York,ACM5762 – reference: ShethARamakrishnanCThomasCSemantics for the semantic web: the implicit, the formal and the powerfulInt J Semant Web Inf Syst20051111810.4018/jswis.2005010101 – reference: XiaNLinHYangZLiYCombining multiple disambiguation methods for gene mention normalizationExpert Syst Appl20113877994799910.1016/j.eswa.2010.12.106 – reference: ThorleuchterDVan den PoelDSemantic compared cross impact analysisExpert Syst Appl20144173477348310.1016/j.eswa.2013.10.051 – reference: SohrabMGMiwaMSasakiYCentroid-means-embedding: an approach to infusing word embeddings into features for text classificationLect Notes Comput Sci (Incl Subseries Lect Notes Artif Intell Lect Notes Bioinforma)20159077289300 – reference: BharathiGVenkatesanDStudy of ontology or thesaurus based document clustering and information retrievalJ Eng Appl Sci201274342347 – reference: NguyenSHJaśkiewiczGŚwiebodaWNguyenHSEnhancing search result clustering with semantic indexingSoICT’12: Proceedings of the Third Symposium on Information and Communication Technology2012New York,ACM718010.1145/2350716.2350729 – reference: PetersenMKHansenLKOn an emotional node: modeling sentiment in graphs of action verbs2012 International Conference on Audio, Language and Image Processing2012Shanghai,IEEE30831310.1109/ICALIP.2012.6376631 – reference: KongLYanRHeYZhangYZhangZFuLDVD: a model for event diversified versions discoveryWeb Technologies and Applications2011Berlin,Springer16818010.1007/978-3-642-20291-9_18 – reference: KayedABuilding e-laws ontology: new approachProceedings of the On the Move to Meaningful Internet Systems 2005: OTM 2005 Workshops2005Berlin,Springer82683510.1007/11575863_104 – reference: JainAKData clustering: 50 years beyond k-meansPattern Recogn Lett201031865166610.1016/j.patrec.2009.09.011 – reference: ParkDHKimHKChoiIYKimJKA literature review and classification of recommender systems researchExpert Syst Appl20123911100591007210.1016/j.eswa.2012.02.038 – reference: DoanSKawazoeAConwayMCollierNTowards role-based filtering of disease outbreak reportsJ Biomed Inform200942577378010.1016/j.jbi.2008.12.009 – reference: BatoolRKhattakAMMaqboolJLeeSPrecise tweet classification and sentiment analysis2013 IEEE/ACIS 12th International Conference on Computer and Information Science (ICIS)2013Niigata,IEEE46146610.1109/ICIS.2013.6607883 – reference: Stenetorp P, Soyer H, Pyysalo S, Ananiadou S, Chikayama T (2012) Size (and domain) matters: evaluating semantic word space representations for biomedical text In: SMBM 2012: Proceedings of the 5th International Symposium on Semantic Mining in Biomedicine,42–49. – reference: KuhnADucasseSGírbaTSemantic clustering: identifying topics in source codeInf Softw Technol20074923024310.1016/j.infsof.2006.10.017 – reference: BlakeCBeyond genes, proteins, and abstracts: identifying scientific claims from full-text biomedical articlesJ Biomed Inform201043217318910.1016/j.jbi.2009.11.001 – reference: HuJFangLCaoYZengHJLiHYangQEnhancing text clustering by leveraging Wikipedia semanticsSIGIR’08: Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval2008New York,ACM17918610.1145/1390334.1390367 – reference: StavrianouAAndritsosPNicoloyannisNOverview and semantic issues of text miningSIGMOD Rec2007363233410.1145/1324185.1324190 – reference: PlazaLDíazAGervásPA semantic graph-based approach to biomedical summarisationArtif Intell Med201153111410.1016/j.artmed.2011.06.005 – reference: BatetMVallsAGibertKPerformance of ontology-based semantic similarities in clusteringArtificial Intelligence and Soft Computing2010Berlin,Springer28128810.1007/978-3-642-13208-7_36 – reference: GabrilovichEMarkovitchSComputing semantic relatedness using Wikipedia-based explicit semantic analysisIJCAI-07: Proceedings of the 20th International Joint Conference on Artifical Intelligence2007San Francisco,Morgan Kaufmann Publishers Inc16061611http://dl.acm.org.ez67.periodicos.capes.gov.br/citation.cfm?id=1625535. – reference: MengXChenQWangXSemantic feature reduction in chinese document clusteringSMC 2008: Proceedings of the IEEE International Conference on Systems, Man and Cybernetics2008Singapore,IEEE3721372610.1109/ICSMC.2008.4811878 – reference: HuXZhangXLuCParkEKZhouXExploiting Wikipedia as external knowledge for document clusteringKDD’09: Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining2009New York,ACM38939610.1145/1557019.1557066 – reference: DaudALiJZhouLMuhammadFKnowledge discovery through directed probabilistic topic models: a surveyFront Comput Sci China20104228030110.1007/s11704-009-0062-y – reference: Chang MW, Ratinov LA, Roth D, Srikumar V (2008) Importance of semantic representation: dataless classification In: AAAI-08: Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, 830–835. – reference: Jiana B, Tingyu L, Tianfang Y (2012) Event information extraction approach based on complex Chinese texts In: IALP 2012: Proceedings of the International Conference on Asian Language Processing, 61–64. – reference: FroudHLachkarAOuatikSAStemming versus light stemming for measuring the simitilarity between Arabic words with latent semantic analysis model2012 Colloquium in Information Science and Technology2012Fez,IEEE697310.1109/CIST.2012.6388065 – reference: Laboratory of Research on Software Engineering (LaPES) - StArt Tool. http://lapes.dc.ufscar.br/tools/start_tool. Accessed 8 June 2016. – reference: Tian X, He W, Tao R, Akula V (2016) Mining online hotel reviews: a case study from hotels in China In: AMCIS 2016: Proceedings of the 22nd Americas Conference on Information Systems, 1–8. – reference: HengliangWWeiweiZA web information extraction method based on ontologyAdv Inf Sci Serv Sci201248199206 – reference: Kass A, Cowell-Shah C (2006) Using lightweight NLP and semantic modeling to realize the internet’s potential as a corporate radar In: AAAI Fall Symposium. AAAI PRESS. – reference: PetersenKFeldtRMujtabaSMattssonMSystematic mapping studies in software engineeringEASE 2008: Proceedings of the 12th International Conference on Evaluation and Assessment in Software Engineering. EASE’082008Swinton, UKBritish Computer Society6877 – reference: AndreopoulosBAlexopoulouDSchroederMWord sense disambiguation in biomedical ontologies with term co-occurrence analysis and document clusteringInt J Data Min Bioinforma20082319321510.1504/IJDMB.2008.020522 – reference: LogeswariSPremalathaKBiomedical document clustering using ontology based concept weightICCCI 2013: Proceedings of the International Conference on Computer Communication and Informatics2013Coimbatore,IEEE14 – reference: DaganIDolanBMagniniBRothDRecognizing textual entailment: rational, evaluation and approachesNat Lang Eng20091504ixvii10.1017/S1351324909990209 – reference: ChauRTsoiACHagenbuchnerMLeeVA conceptlink graph for text structure miningACSC’09: Proceedings of the Thirty-Second Australasian Conference on Computer Science - Volume 912009Darlinghurst,Australian Computer Society, Inc.141150 – reference: W, 3C - Semantic Web Health Care and Life Sciences Interest Group. https://www.w3.org/blog/hcls/. Accessed 8 June 2016. – reference: Smirnov I, Tikhomirov I (2009) Heterogeneous semantic networks for text representation in intelligent search engine EXACTUS In: SENSE’09: Proceedings of the Workshop on Conceptual Structures for Extracting Natural Language Semantics, 1–9. – reference: WuJXuanZPanDEnhancing text representation for classification tasks with semantic graph structuresInt J Innov Comput Inf Control (ICIC)20117526892698 – reference: Khan K, Baharudin BB, Khan A, et al (2009) Mining opinion from text documents: a survey In: DEST’09: Proceedings of the 3rd IEEE International Conference on Digital Ecosystems and Technologies, 217–222. IEEE. – reference: KontosJMalagardiIAlexandrisCBouligarakiMGreek verb semantic processing for stock market text miningNLP’00: Proceedings of the Second International Conference on Natural Language Processing2000LondonSpringer-Verlag395405 – reference: TorunogluDTelserenGSagturkOGanizMCWikipedia based semantic smoothing for twitter sentiment classificationINISTA 2013: Proceedings of the IEEE International Symposium on Innovations in Intelligent Systems and Applications2013AlbenaIEEE15 – reference: HuPHeTJiDWangMA study of Chinese text summarization using adaptive clustering of paragraphsCIT’04: Proceedings of the Fourth International Conference on Computer and Information Technology2004Wuhan,IEEE11591164 – reference: VolkovaSCarageaDHsuWHDrouhardJFowlesLBoosting biomedical entity extraction by using syntactic patterns for semantic relation discoveryWI-IAT 2010: Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology2010TorontoIEEE27227810.1109/WI-IAT.2010.152 – reference: DuCZhuangFHeQShiZMulti-task semi-supervised semantic feature learning for classificationICDM 2012: Proceedings of the IEEE 12th International Conference on Data Mining2012Brussels,IEEE19120010.1109/ICDM.2012.15http://ieeexplore.ieee.org/document/6413903/. – reference: LuXZhengBVelivelliAZhaiCEnhancing text categorization with semantic-enriched representation and training data augmentationJ Am Med Inform Assoc200613552653510.1197/jamia.M2051 – reference: LiRShindoHDistributed document representation for document classificationLect Notes Comput Sci (Incl Subseries Lect Notes Artif Intell Lect Notes Bioinforma)20159077212225 – reference: SchmidhuberJDeep learning in neural networks: an overviewNeural Netw2015618511710.1016/j.neunet.2014.09.003 – reference: WallaceBCComputational irony: a survey and new perspectivesArtif Intell Rev201543446748310.1007/s10462-012-9392-5 – reference: BleiDMNgAYJordanMILatent Dirichlet allocationJ Mach Learn Res20033Jan99310221112.68379 – reference: AlencarRODDavis JrCAGonçalvesMAGeographical classification of documents using evidence from WikipediaGIR ’10: Proceedings of the 6th Workshop on Geographic Information Retrieval2010New York,ACM1212 – reference: AndreasenTBulskovHJensenPALassenTExtracting conceptual feature structures from textISMIS 2011: Proceedings 19th International Symposium on Methodologies for Intelligent Systems2011Berlin,Springer396406 – reference: KamalAAbulaishMAnwarTMining feature-opinion pairs and their reliability scores from web opinion sourcesWIMS’12: Proceedings of the 2nd International Conference on Web Intelligence, Mining and Semantics2012New York,ACM1515 – reference: Rebholz-SchuhmannDJimeno-YepesAArreguiMKirschHMeasuring prediction capacity of individual verbs for the identification of protein interactionsJ Biomed Inform201043220020710.1016/j.jbi.2009.09.007 – reference: Medical Subject Headings (MeSH). https://www.nlm.nih.gov/mesh/. Accessed 8 June 2016. – reference: SharmaASwaminathanRYangHA verb-centric approach for relationship extraction in biomedical textICSC 2010: Proceedings of the IEEE Fourth International Conference on Semantic Computing2010Pittsburgh,IEEE37738510.1109/ICSC.2010.14 – reference: MannaiMBen Abdessalem KaraaWBayesian information extraction network for Medline abstract.2013 World Congress on Computer and Information Technology (WCCIT)2013Sousse,IEEE13. – reference: BreretonPKitchenhamBABudgenDTurnerMKhalilMLessons from applying the systematic literature review process within the software engineering domainJ Syst Softw200780457158310.1016/j.jss.2006.07.009 – volume: 13 start-page: 1 issue: 1 year: 2012 ident: 58_CR34 publication-title: BMC Bioinforma doi: 10.1186/1471-2105-13-108 – ident: 58_CR131 – volume: 39 start-page: 10059 issue: 11 year: 2012 ident: 58_CR11 publication-title: Expert Syst Appl doi: 10.1016/j.eswa.2012.02.038 – volume: 6 start-page: 357 issue: 4 year: 2005 ident: 58_CR25 publication-title: Brief Bioinform doi: 10.1093/bib/6.4.357 – start-page: 38 volume-title: Advances in Knowledge Discovery and Data Mining year: 2011 ident: 58_CR75 doi: 10.1007/978-3-642-20841-6_4 – ident: 58_CR63 – start-page: 272 volume-title: WI-IAT 2010: Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology year: 2010 ident: 58_CR163 doi: 10.1109/WI-IAT.2010.152 – volume: 5 start-page: 336 issue: 6 year: 2011 ident: 58_CR31 publication-title: Lang Linguist Compass doi: 10.1111/j.1749-818X.2011.00284.x – ident: 58_CR65 doi: 10.1515/9783598441585 – volume: 9077 start-page: 212 year: 2015 ident: 58_CR151 publication-title: Lect Notes Comput Sci (Incl Subseries Lect Notes Artif Intell Lect Notes Bioinforma) – volume: 204 start-page: 381 year: 2011 ident: 58_CR29 publication-title: Adv Mater Res doi: 10.4028/www.scientific.net/AMR.204-210.381 – volume: 34 start-page: 443 year: 2009 ident: 58_CR76 publication-title: J Artif Intell Res doi: 10.1613/jair.2669 – volume: 12 start-page: 1 issue: 1 year: 2012 ident: 58_CR38 publication-title: BMC Med Inform Dec Making doi: 10.1186/1472-6947-12-1 – start-page: 922 volume-title: Proceedings of the ACM Symposium on Applied Computing, year: 2015 ident: 58_CR74 doi: 10.1145/2695664.2696055 – start-page: 826 volume-title: Proceedings of the On the Move to Meaningful Internet Systems 2005: OTM 2005 Workshops year: 2005 ident: 58_CR161 doi: 10.1007/11575863_104 – volume: 29 start-page: 8:1 issue: 2 year: 2011 ident: 58_CR111 publication-title: ACM Trans Inf Syst doi: 10.1145/1961209.1961211 – volume: 96 start-page: 2786 issue: 12 year: 2013 ident: 58_CR124 publication-title: IEICE Trans Inf Syst – start-page: 946 volume-title: ICCSE 2011: Proceedings of the 6th International Conference on Computer Science & Education year: 2011 ident: 58_CR60 – volume: 36 start-page: 23 issue: 3 year: 2007 ident: 58_CR15 publication-title: SIGMOD Rec doi: 10.1145/1324185.1324190 – ident: 58_CR92 – volume: 43 start-page: 173 issue: 2 year: 2010 ident: 58_CR166 publication-title: J Biomed Inform doi: 10.1016/j.jbi.2009.11.001 – start-page: 430 volume-title: KAM’09: Proceedings of the Second International Symposium on Knowledge Acquisition and Modeling year: 2009 ident: 58_CR52 doi: 10.1109/KAM.2009.88 – volume: 61 start-page: 85 year: 2015 ident: 58_CR149 publication-title: Neural Netw doi: 10.1016/j.neunet.2014.09.003 – volume: 46 start-page: 26:1 issue: 2 year: 2013 ident: 58_CR9 publication-title: ACM Comput Surv doi: 10.1145/2543581.2543593 – ident: 58_CR3 – start-page: 268 volume-title: ICSC 2008: Proceedings of the International Conference on Semantic Computing year: 2008 ident: 58_CR79 doi: 10.1109/ICSC.2008.53 – start-page: 133 volume-title: DEXA 2013: Proceedings of the 24th International Workshop on Database and Expert Systems Applications year: 2013 ident: 58_CR143 doi: 10.1109/DEXA.2013.21 – start-page: 68 volume-title: EASE 2008: Proceedings of the 12th International Conference on Evaluation and Assessment in Software Engineering. EASE’08 year: 2008 ident: 58_CR4 – ident: 58_CR95 – volume: 47 start-page: 64:1 issue: 4 year: 2015 ident: 58_CR8 publication-title: ACM Comput Surv doi: 10.1145/2764464 – ident: 58_CR12 doi: 10.1109/DEST.2009.5276756 – volume: 46 start-page: 33 issue: 1 year: 2013 ident: 58_CR160 publication-title: J Biomed Inform doi: 10.1016/j.jbi.2012.07.006 – volume: 42 start-page: 9192 issue: 23 year: 2015 ident: 58_CR93 publication-title: Expert Syst Appl doi: 10.1016/j.eswa.2015.08.008 – start-page: 1 volume-title: 2013 World Congress on Computer and Information Technology (WCCIT) year: 2013 ident: 58_CR106 – start-page: 2695 volume-title: FSKD 2011: Proceedings of the Eighth International Conference on Fuzzy Systems and Knowledge Discovery year: 2011 ident: 58_CR123 doi: 10.1109/FSKD.2011.6020066 – ident: 58_CR80 – start-page: 141 volume-title: ACSC’09: Proceedings of the Thirty-Second Australasian Conference on Computer Science - Volume 91 year: 2009 ident: 58_CR148 – ident: 58_CR169 doi: 10.3115/1572340.1572355 – volume: 4 start-page: 1815 issue: 12 year: 2012 ident: 58_CR19 publication-title: Res J Appl Sci Eng Technol – volume: 50 start-page: 511 issue: 2 year: 2011 ident: 58_CR45 publication-title: Decis Support Syst doi: 10.1016/j.dss.2010.11.009 – start-page: 241 volume-title: Computational Linguistics and Intelligent Text Processing year: 2007 ident: 58_CR133 doi: 10.1007/978-3-540-70939-8_22 – volume: 55 start-page: 299 issue: 3 year: 2012 ident: 58_CR125 publication-title: Comput J doi: 10.1093/comjnl/bxr024 – start-page: 1 volume-title: HICSS 2010: Proceedings of the 43rd Hawaii International Conference on System Sciences year: 2010 ident: 58_CR62 – start-page: 839 volume-title: ICDM’08: Eighth IEEE International Conference on Data Mining year: 2008 ident: 58_CR128 doi: 10.1109/ICDM.2008.80 – start-page: 12 volume-title: GIR ’10: Proceedings of the 6th Workshop on Geographic Information Retrieval year: 2010 ident: 58_CR146 – volume: 53 start-page: 1 issue: 1 year: 2011 ident: 58_CR97 publication-title: Artif Intell Med doi: 10.1016/j.artmed.2011.06.005 – ident: 58_CR165 – start-page: 191 volume-title: ICDM 2012: Proceedings of the IEEE 12th International Conference on Data Mining year: 2012 ident: 58_CR59 doi: 10.1109/ICDM.2012.15 – ident: 58_CR103 doi: 10.1007/978-3-642-33412-2_57 – volume: 56 start-page: 145 issue: 2 year: 2016 ident: 58_CR48 publication-title: J Comput Inf Syst – volume: 43 start-page: 467 issue: 4 year: 2015 ident: 58_CR23 publication-title: Artif Intell Rev doi: 10.1007/s10462-012-9392-5 – volume: 47 start-page: 491 issue: 3 year: 2016 ident: 58_CR159 publication-title: J Intell Inf Syst doi: 10.1007/s10844-015-0382-3 – volume: 41 start-page: 3477 issue: 7 year: 2014 ident: 58_CR89 publication-title: Expert Syst Appl doi: 10.1016/j.eswa.2013.10.051 – ident: 58_CR14 doi: 10.1145/1988688.1988694 – volume-title: Pattern learning through distant supervision for extraction of protein-residue associations in the biomedical literature, vol. 2. pp 59–65 year: 2011 ident: 58_CR35 – start-page: 377 volume-title: ICSC 2010: Proceedings of the IEEE Fourth International Conference on Semantic Computing year: 2010 ident: 58_CR134 doi: 10.1109/ICSC.2010.14 – start-page: 233 volume-title: KDD’01: Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining year: 2001 ident: 58_CR72 doi: 10.1145/502512.502544 – volume: 115 start-page: 1622 issue: 9 year: 2015 ident: 58_CR47 publication-title: Ind Manag Data Syst doi: 10.1108/IMDS-03-2015-0098 – start-page: 65:1 volume-title: WIMS’12:Proceedings of the 2Nd International Conference on Web Intelligence, Mining and Semantics year: 2012 ident: 58_CR114 – volume-title: WordNet: an electronic lexical database year: 1998 ident: 58_CR64 doi: 10.7551/mitpress/7287.001.0001 – volume: 30 start-page: 157 issue: 02 year: 2015 ident: 58_CR27 publication-title: Knowl Eng Rev doi: 10.1017/S0269888914000277 – start-page: 15 volume-title: WIMS’12: Proceedings of the 2nd International Conference on Web Intelligence, Mining and Semantics year: 2012 ident: 58_CR156 – volume: 34 start-page: 856 issue: 5 year: 2011 ident: 58_CR140 publication-title: Jisuanji Xuebao(Chin J Comput) – volume: 52 start-page: 792 issue: 8 year: 2010 ident: 58_CR6 publication-title: Inf Softw Technol doi: 10.1016/j.infsof.2010.03.006 – volume: 19 start-page: 573 issue: 4 year: 2013 ident: 58_CR10 publication-title: J Braz Comput Soc doi: 10.1007/s13173-013-0117-7 – volume: 3 start-page: 993 issue: Jan year: 2003 ident: 58_CR121 publication-title: J Mach Learn Res – volume: 15 start-page: i issue: 04 year: 2009 ident: 58_CR26 publication-title: Nat Lang Eng doi: 10.1017/S1351324909990209 – volume: 42 start-page: 2264 issue: 4 year: 2015 ident: 58_CR67 publication-title: Expert Syst Appl doi: 10.1016/j.eswa.2014.10.023 – ident: 58_CR147 – start-page: 123 volume-title: IALP 2011: Proceedings of the International Conference on Asian Language Processing year: 2011 ident: 58_CR87 doi: 10.1109/IALP.2011.72 – start-page: 730 volume-title: Human Interface and the Management of Information. Interacting in Information Environments year: 2007 ident: 58_CR54 doi: 10.1007/978-3-540-73354-6_80 – volume: 42 start-page: 306 issue: 1 year: 2015 ident: 58_CR112 publication-title: Expert Syst Appl doi: 10.1016/j.eswa.2014.08.004 – volume: 7 start-page: 342 issue: 4 year: 2012 ident: 58_CR18 publication-title: J Eng Appl Sci doi: 10.3923/jeasci.2012.342.347 – volume: 11 start-page: 415 issue: 4 year: 2007 ident: 58_CR40 publication-title: IEEE IEEE Trans Inf Technol Biomed doi: 10.1109/TITB.2006.888705 – start-page: 4:1 volume-title: EASE’14: Proceedings of the 18th International Conference on Evaluation and Assessment in Software Engineering year: 2014 ident: 58_CR7 – start-page: 1159 volume-title: CIT’04: Proceedings of the Fourth International Conference on Computer and Information Technology year: 2004 ident: 58_CR85 – ident: 58_CR82 – volume: 67 start-page: 716 issue: 9 year: 2009 ident: 58_CR81 publication-title: Int J Human-Computer Stud doi: 10.1016/j.ijhcs.2009.05.004 – start-page: 1 volume-title: ICCCI 2013: Proceedings of the International Conference on Computer Communication and Informatics year: 2013 ident: 58_CR100 – start-page: 395 volume-title: NLP’00: Proceedings of the Second International Conference on Natural Language Processing year: 2000 ident: 58_CR138 – volume: 31 start-page: 651 issue: 8 year: 2010 ident: 58_CR170 publication-title: Pattern Recogn Lett doi: 10.1016/j.patrec.2009.09.011 – volume: 13 start-page: 526 issue: 5 year: 2006 ident: 58_CR61 publication-title: J Am Med Inform Assoc doi: 10.1197/jamia.M2051 – ident: 58_CR154 doi: 10.1109/ICTAI.2014.93 – volume: 54 start-page: 127 year: 2015 ident: 58_CR41 publication-title: Inf Syst doi: 10.1016/j.is.2015.06.007 – ident: 58_CR73 – start-page: 1 volume-title: INISTA 2013: Proceedings of the IEEE International Symposium on Innovations in Intelligent Systems and Applications year: 2013 ident: 58_CR44 – volume: 34 start-page: 753 issue: 8 year: 2009 ident: 58_CR90 publication-title: Inf Syst doi: 10.1016/j.is.2009.03.007 – start-page: 375 volume-title: The Semantic Web year: 2008 ident: 58_CR104 doi: 10.1007/978-3-540-89704-0_26 – start-page: 3721 volume-title: SMC 2008: Proceedings of the IEEE International Conference on Systems, Man and Cybernetics year: 2008 ident: 58_CR142 doi: 10.1109/ICSMC.2008.4811878 – start-page: 71 volume-title: SoICT’12: Proceedings of the Third Symposium on Information and Communication Technology year: 2012 ident: 58_CR101 doi: 10.1145/2350716.2350729 – volume: 9 start-page: 525 issue: 1 year: 2008 ident: 58_CR105 publication-title: BMC Bioinforma doi: 10.1186/1471-2105-9-525 – volume: 80 start-page: 571 issue: 4 year: 2007 ident: 58_CR5 publication-title: J Syst Softw doi: 10.1016/j.jss.2006.07.009 – start-page: 171 volume-title: Advances in Knowledge Discovery and Data Mining year: 2011 ident: 58_CR158 doi: 10.1007/978-3-642-20841-6_15 – volume-title: Practical text mining and statistical analysis for non-structured text data applications year: 2012 ident: 58_CR1 – volume: 16 start-page: 38 issue: 6 year: 2014 ident: 58_CR22 publication-title: IT Prof doi: 10.1109/MITP.2014.85 – start-page: 659 volume-title: IJCAI’05: Proceedings of the 19th International Joint Conference on Artificial Intelligence year: 2005 ident: 58_CR56 – volume: 474 start-page: 2071 year: 2011 ident: 58_CR86 publication-title: Key Eng Mater doi: 10.4028/www.scientific.net/KEM.474-476.2071 – start-page: 363 volume-title: SIGIR’15: Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval year: 2015 ident: 58_CR155 doi: 10.1145/2766462.2767752 – volume: 36 start-page: 306 issue: 3 year: 2010 ident: 58_CR17 publication-title: J Inf Sci doi: 10.1177/0165551509360123 – ident: 58_CR50 – start-page: 2317 volume-title: CIKM’11: Proceedings of the 20th ACM International Conference on Information and Knowledge Management year: 2011 ident: 58_CR130 – volume: 20 start-page: 125 issue: 2 year: 2012 ident: 58_CR122 publication-title: J Comput Inf Technol doi: 10.2498/cit.1001770 – ident: 58_CR99 – volume: 38 start-page: 7994 issue: 7 year: 2011 ident: 58_CR36 publication-title: Expert Syst Appl doi: 10.1016/j.eswa.2010.12.106 – volume: 295 CCIS start-page: 133 year: 2012 ident: 58_CR109 publication-title: Commun Comput Inform Sci doi: 10.1007/978-3-642-32826-8_14 – start-page: 62 volume-title: TAAI 2011: Proceedings of the International Conference on Technologies and Applications of Artificial Intelligence year: 2011 ident: 58_CR51 doi: 10.1109/TAAI.2011.19 – start-page: 308 volume-title: 2012 International Conference on Audio, Language and Image Processing year: 2012 ident: 58_CR115 doi: 10.1109/ICALIP.2012.6376631 – volume: 174 start-page: 806 year: 2016 ident: 58_CR153 publication-title: Neurocomputing doi: 10.1016/j.neucom.2015.09.096 – volume: 4 start-page: 199 issue: 8 year: 2012 ident: 58_CR108 publication-title: Adv Inf Sci Serv Sci – volume: 7181 LNCS start-page: 42 issue: PART 1 year: 2012 ident: 58_CR116 publication-title: Lect Notes Comp Sci (Incl Subseries Lect Notes Artif Intell Lect Notes Bioinforma) – start-page: 1 volume-title: ICCCI 2013: Proceedings of the International Conference on Computer Communication and Informatics year: 2013 ident: 58_CR94 – volume: 9077 start-page: 289 year: 2015 ident: 58_CR152 publication-title: Lect Notes Comput Sci (Incl Subseries Lect Notes Artif Intell Lect Notes Bioinforma) – start-page: 168 volume-title: Web Technologies and Applications year: 2011 ident: 58_CR157 doi: 10.1007/978-3-642-20291-9_18 – start-page: 1 volume-title: Information Retrieval Technology year: 2009 ident: 58_CR68 – volume: 49 start-page: 230 year: 2007 ident: 58_CR120 publication-title: Inf Softw Technol doi: 10.1016/j.infsof.2006.10.017 – ident: 58_CR91 – volume: 43 start-page: 200 issue: 2 year: 2010 ident: 58_CR136 publication-title: J Biomed Inform doi: 10.1016/j.jbi.2009.09.007 – ident: 58_CR32 – volume: 2 start-page: 193 issue: 3 year: 2008 ident: 58_CR132 publication-title: Int J Data Min Bioinforma doi: 10.1504/IJDMB.2008.020522 – volume: 7 start-page: 2689 issue: 5 year: 2011 ident: 58_CR145 publication-title: Int J Innov Comput Inf Control (ICIC) – start-page: 281 volume-title: Artificial Intelligence and Soft Computing year: 2010 ident: 58_CR71 doi: 10.1007/978-3-642-13208-7_36 – start-page: 1 volume-title: CiSE 2010: Proceedings of the International Conference on Computational Intelligence and Software Engineering year: 2010 ident: 58_CR84 – volume: 532 start-page: 1716 year: 2012 ident: 58_CR83 publication-title: Adv Mater Res doi: 10.4028/www.scientific.net/AMR.532-533.1716 – ident: 58_CR88 doi: 10.1109/ISISE.2010.145 – start-page: 396 volume-title: ISMIS 2011: Proceedings 19th International Symposium on Methodologies for Intelligent Systems year: 2011 ident: 58_CR126 – start-page: NLP volume-title: INFOS 2012: Proceedings of the 8th International Conference on Informatics and Systems year: 2012 ident: 58_CR144 – volume: 7 start-page: 258 issue: 4 year: 2015 ident: 58_CR30 publication-title: Wiley Interdiscip Rev Comput Stat doi: 10.1002/wics.1353 – start-page: 568 volume-title: FLAIRS Conference 2006: Proceedings of the Nineteenth International Florida Artificial Intelligence Research Society Conference year: 2006 ident: 58_CR69 – start-page: 461 volume-title: 2013 IEEE/ACIS 12th International Conference on Computer and Information Science (ICIS) year: 2013 ident: 58_CR113 doi: 10.1109/ICIS.2013.6607883 – start-page: 279 volume-title: Advances in Natural Language Processing year: 2004 ident: 58_CR102 doi: 10.1007/978-3-540-30228-5_25 – volume: 53 start-page: 196 year: 2015 ident: 58_CR37 publication-title: J Biomed Inform doi: 10.1016/j.jbi.2014.11.002 – ident: 58_CR137 – ident: 58_CR171 – ident: 58_CR118 – volume: 9041 start-page: 417 year: 2015 ident: 58_CR150 publication-title: Lect Notes Comput Sci (Incl Subseries Lect Notes Artif Intell Lect Notes Bioinforma) – start-page: 103 volume-title: AusDM 2006: Proceedings of the fifth Australasian Conference on Data Mining and Analystics year: 2006 ident: 58_CR55 – start-page: 1606 volume-title: IJCAI-07: Proceedings of the 20th International Joint Conference on Artifical Intelligence year: 2007 ident: 58_CR129 – start-page: 40:1 volume-title: IMCOM ’15: Proceedings of the 9th International Conference on Ubiquitous Information Management and Communication year: 2015 ident: 58_CR70 – volume: 1 start-page: 1 issue: 1 year: 2005 ident: 58_CR28 publication-title: Int J Semant Web Inf Syst doi: 10.4018/jswis.2005010101 – volume: 36 start-page: 167 issue: 2 year: 2012 ident: 58_CR110 publication-title: J Theor Appl Inf Technol – start-page: 179 volume-title: SIGIR’08: Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval year: 2008 ident: 58_CR167 doi: 10.1145/1390334.1390367 – start-page: 69 volume-title: 2012 Colloquium in Information Science and Technology year: 2012 ident: 58_CR119 doi: 10.1109/CIST.2012.6388065 – volume: 37 start-page: 1643 issue: 2 year: 2010 ident: 58_CR168 publication-title: Expert Syst Appl doi: 10.1016/j.eswa.2009.06.099 – ident: 58_CR33 – volume: 9 start-page: 466 issue: 6 year: 2008 ident: 58_CR24 publication-title: Brief Bioinform doi: 10.1093/bib/bbn043 – start-page: 57 volume-title: Proceedings of the First International Workshop on Social Media Retrieval and Analysis year: 2014 ident: 58_CR78 doi: 10.1145/2632188.2632205 – start-page: 274 volume-title: ICSC 2013: Proceedings of the IEEE Seventh International Conference on Semantic Computing year: 2013 ident: 58_CR43 doi: 10.1109/ICSC.2013.54 – volume: 57 start-page: 315 issue: 6-7 year: 2006 ident: 58_CR21 publication-title: Inf Wiss Prax – ident: 58_CR107 doi: 10.1109/IALP.2012.37 – ident: 58_CR49 – volume: 17 start-page: 113 issue: 2 year: 2013 ident: 58_CR139 publication-title: Int J Knowl-Based Intell Eng Syst – ident: 58_CR66 – volume: 40 start-page: 301 issue: 2 year: 2012 ident: 58_CR20 publication-title: Ciência da Informação – volume: 42 start-page: 773 issue: 5 year: 2009 ident: 58_CR141 publication-title: J Biomed Inform doi: 10.1016/j.jbi.2008.12.009 – start-page: 42 volume-title: WI-IAT’09: Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology-Volume 01 year: 2009 ident: 58_CR164 doi: 10.1109/WI-IAT.2009.14 – volume: 33 start-page: 357 issue: 3 year: 2009 ident: 58_CR53 publication-title: Informatica (Slovenia) – start-page: 644 volume-title: WAIM 2010: Proceedings of the Workshops of the 11th International Conference on Web-Age Information Management year: 2010 ident: 58_CR135 – start-page: 10 volume-title: WIMS’11: Proceedings of the International Conference on Web Intelligence, Mining and Semantics year: 2011 ident: 58_CR127 – volume: 45 start-page: 992 issue: 5 year: 2012 ident: 58_CR96 publication-title: J Biomed Inform doi: 10.1016/j.jbi.2012.04.010 – ident: 58_CR13 – volume: 4 start-page: 280 issue: 2 year: 2010 ident: 58_CR16 publication-title: Front Comput Sci China doi: 10.1007/s11704-009-0062-y – volume: 38 start-page: 191 issue: 1 year: 2012 ident: 58_CR117 publication-title: J Intell Inf Syst doi: 10.1007/s10844-011-0149-4 – volume: 41 start-page: 735 issue: 2 year: 2014 ident: 58_CR57 publication-title: Expert Syst Appl doi: 10.1016/j.eswa.2013.07.097 – start-page: 2331 volume-title: ICPR 2012: Proceedings of the 21st International Conference on Pattern Recognition year: 2012 ident: 58_CR58 – start-page: 389 volume-title: KDD’09: Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining year: 2009 ident: 58_CR77 doi: 10.1145/1557019.1557066 – volume: 25 start-page: 240 issue: 2 year: 2012 ident: 58_CR162 publication-title: J Digit Imaging doi: 10.1007/s10278-011-9411-0 – volume: 44 start-page: 881 issue: 5 year: 2011 ident: 58_CR98 publication-title: J Biomed Inform doi: 10.1016/j.jbi.2011.05.007 – volume: 15 start-page: 331 issue: 3 year: 2013 ident: 58_CR42 publication-title: Inf Syst Front doi: 10.1007/s10796-012-9400-y – volume: 6609 LNCS start-page: 139 issue: PART 2 year: 2011 ident: 58_CR39 publication-title: Lect Notes Comput Sci (Incl Subseries Lect Notes Artif Intell Lect Notes Bioinforma) – volume-title: Mining text data year: 2012 ident: 58_CR2 – start-page: 115 volume-title: RecSys’12: Proceedings of the sixth ACM Conference on Recommender Systems year: 2012 ident: 58_CR46 doi: 10.1145/2365952.2365977 |
| SSID | ssj0020430 |
| Score | 2.3003433 |
| Snippet | As text semantics has an important role in text meaning, the term semantics has been seen in a vast sort of text mining studies. However, there is a lack of... Abstract As text semantics has an important role in text meaning, the term semantics has been seen in a vast sort of text mining studies. However, there is a... |
| SourceID | doaj proquest crossref springer |
| SourceType | Open Website Aggregation Database Enrichment Source Index Database Publisher |
| StartPage | 1 |
| SubjectTerms | Computer Science Computer System Implementation Data mining Data Structures Digital mapping End users Operating Systems Semantics Simulation and Modeling Studies Systematic review Text mining Text semantics Texts |
| SummonAdditionalLinks | – databaseName: SpringerLINK dbid: C24 link: http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV1LT-QwDLbYgQMX3ojhpRz2tCgibZIm5QYIxGnEASRuUZImCGlnQFPg9xNnWl6Cldhrm1aWHSefZfszwO8ovGPKO6pL56hIEJk6XntaMxm4ClJ65fOwCTUa6Zub-rLr4277avc-JZlP6uzWujpsi3TVYe2PojgLj6pfMC8LXWMd3ym2OHRRFpJY5bpFJmiCH30q88tffLiMMmf_B6D5KTear5zz5f8SdgWWOoRJjmdbYhXmwmQNlvvpDaRz5nWQV-lcJuM8IILYSUPaME5qvvPtEbHkjeGZjC1yONySzES7AdfnZ1enF7QbokA9F0gAKbWPRWA-NioKKQRSzBVWcWmd4A47iEoeImt0IxI6cVXZRGW1KCzXCRoKvgmDyf0kbAEJTZXARa0tYhCtrePJvhFjRs5sXfkhsF6bxncM4zjo4q_JkYauzEwtJqnFoFqMGsKf108eZvQa_1p8giZ6XYjM2PnB_fTWdI5mXJOi7qhK24iEVlm0XiZEmySOCVyFig1htzew6dy1NchKluJQzqshHPQGfff6O4m2f7R6BxZL3BG5GGYXBo_Tp7AHC_758a6d7udd_AJQzucG priority: 102 providerName: Springer Nature |
| Title | Text mining and semantics: a systematic mapping study |
| URI | https://link.springer.com/article/10.1186/s13173-017-0058-7 https://www.proquest.com/docview/1964249336 https://doaj.org/article/bd133f72ad40450fac5533155f066e60 |
| Volume | 23 |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| journalDatabaseRights | – providerCode: PRVAON databaseName: DOAJ Directory of Open Access Journals customDbUrl: eissn: 1678-4804 dateEnd: 20211231 omitProxy: false ssIdentifier: ssj0020430 issn: 0104-6500 databaseCode: DOA dateStart: 20140101 isFulltext: true titleUrlDefault: https://www.doaj.org/ providerName: Directory of Open Access Journals – providerCode: PRVAVX databaseName: SpringerLINK customDbUrl: eissn: 1678-4804 dateEnd: 20211231 omitProxy: false ssIdentifier: ssj0020430 issn: 0104-6500 databaseCode: C24 dateStart: 20040201 isFulltext: true titleUrlDefault: https://link.springer.com/search?facet-content-type=%22Journal%22 providerName: Springer Nature |
| link | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV1NS8QwEB1UPHjxW1y_yMGTEkybtEm9qSiexMMKewtJmojgrmLV3-8kbXVXUC9e2xTCTNJ5j0zeAzgMwlkmnaUqt5YKhMjU8srRihWeS18UTrpkNiFvbtRoVN1OWX3FnrBWHrgN3ImtkUUFmZtaIPpgwbgCEQpWwYDF0peJrTNZ9WSqo1pRySo1LzJBEYP055mZKk-aDEtm7CGSNHrqUTlTkZJw_wza_HZAmurO1Sosd4CRnLUTXYM5P1mHld6MgXR7cwOKIf5myTj5PRAzqUnjxxi1B9ecEkO-BJvJ2ERJhnuShGU34e7qcnhxTTtPBOq4iHqOhXIh88yFWgZRCBEV4zIjeWGs4DZeCMq5D6xWtUCwYcu8DtIokRmuEOkJvgULk6eJ3wbi6xKxQqVMhBRKGcsxXSFSQM5MVboBsD4u2nWC4dG34lEn4qBK3YZSYyh1DKWWAzj6_OS5Vcv4bfB5DPbnwCh0nR5g-nWXfv1X-gew16dKd7uv0VFkDGkl5-UAjvv0Tb3-aUY7_zGjXVjK4-JKLS97sPD68ub3YdG9vz40Lwcwf5GLg7RYPwCe1OQV |
| linkProvider | Directory of Open Access Journals |
| linkToHtml | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV1LT-QwDLZYWGm58FzE8NocOIEiMk3apNwAgUCwIw6DxC1K0mSExAxoCvx-4kzLSwvScm3TyrLj5LNsfwbYDsJZJp2lKrOWigiRqeWloyXLPZc-z510adiE7PXU9XV52fRx1221e5uSTCd1cmtV7NXdeNVh7Y-kOAuPyh8wg8wrWMd3hC0OTZSFJFapbpEJGuFHm8r85y_eXUaJs_8d0PyQG01Xzsn8t4RdgLkGYZKDyZZYhCk_WoL5dnoDaZx5GfJ-PJfJMA2IIGZUkdoPo5pvXL1PDHlleCZDgxwOA5KYaH_D1clx_-iUNkMUqOMCCSBz5ULXMxcqGUQuBFLMdY3kubGCW-wgyrgPrFKViOjEFlkVpFGia7iK0FDwFZge3Y38KhBfFRFclMogBlHKWB7tGzBm5MyUhesAa7WpXcMwjoMubnWKNFShJ2rRUS0a1aJlB3ZePrmf0Gt8tfgQTfSyEJmx04O78UA3jqZtFaPuIDNTiYhWWTAuj4g2ShwiuPIF68BGa2DduGutkZUsxqGcFx3YbQ365vVnEq391-o_8Ou0__dCX5z1ztdhNsPdkQpjNmD6YfzoN-Gne3q4qcdbaUc_AzOe6es |
| linkToPdf | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV1LT9wwEB61tKq4QB8glkfrQ0-tLLyxEzvceK1atVpxoBI3y0-ExAa0Wfj9eJyEFlSQql4TZ2XNY_2NZvx9AJ-jcJZJZ6kqrKUiQWRqee1ozcrAZShLJ10Wm5DTqTo7q096ndN2mHYfWpLdnQZkaWoWu9c-dimuqt12nI49nAOSFHXxqHwJr7AhhSF-iNcd-ooLCa3yDCMTNEGRoa351594cDBl_v4HoPNRnzQfP5PV_974W1jpkSfZ70LlHbwIzXtYHVQdSJ_kH6A8Tf_XZJaFI4hpPGnDLJn_wrV7xJDfzM9kZpDb4Zxkhto1-DU5Pj38RntxBeq4QGLIUrk4DsxFL6MohUDqubGRvDRWcIs3iwoeIvPKi4RabFX4KI0SY8NVgoyCr8NSc9WEDSDBVwl01MogNlHKWJ78HrGW5MzUlRsBGyyrXc88jgIYlzpXIKrSnVl0MotGs2g5gi_3n1x3tBvPLT5Ad90vRMbs_OBqfq77BNTWp2o8ysJ4kVAsi8aVCemmHccEukLFRrA9OFv3adxqZCtL9Snn1Qi-Ds794_VTO9r8p9Wf4M3J0UT__D79sQXLBQZHnpfZhqXF_CbswGt3u7ho5x9zcN8BERvyzw |
| openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Text+mining+and+semantics%3A+a+systematic+mapping+study&rft.jtitle=Journal+of+the+Brazilian+Computer+Society&rft.au=Roberta+Akemi+Sinoara&rft.au=Jo%C3%A3o+Antunes&rft.au=Solange+Oliveira+Rezende&rft.date=2017-12-01&rft.pub=Sociedade+Brasileira+de+Computa%C3%A7%C3%A3o&rft.issn=0104-6500&rft.eissn=1678-4804&rft.volume=23&rft.issue=1&rft.spage=1&rft.epage=20&rft_id=info:doi/10.1186%2Fs13173-017-0058-7&rft.externalDBID=DOA&rft.externalDocID=oai_doaj_org_article_bd133f72ad40450fac5533155f066e60 |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=0104-6500&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=0104-6500&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=0104-6500&client=summon |