QMOS: Query-based multi-documents opinion-oriented summarization
•It combines multiple sentiment dictionaries to improve word coverage limit.•It integrates negation, but-clause, sarcasm, subjective/objective, question/ conditional handling.•It integrates the semantic relations between words, and their syntactic composition to capture the meaning in comparison bet...
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| Veröffentlicht in: | Information processing & management Jg. 54; H. 2; S. 318 - 338 |
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01.03.2018
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| Abstract | •It combines multiple sentiment dictionaries to improve word coverage limit.•It integrates negation, but-clause, sarcasm, subjective/objective, question/ conditional handling.•It integrates the semantic relations between words, and their syntactic composition to capture the meaning in comparison between a sentence and the user query.•It expands the words in the query and sentences to tackle the problem of information limit.•Experiment results on Blog06 & DUC2006 displayed that it is to be preferred over the existing methods.
Sentiment analysis concerns the study of opinions expressed in a text. This paper presents the QMOS method, which employs a combination of sentiment analysis and summarization approaches. It is a lexicon-based method to query-based multi-documents summarization of opinion expressed in reviews.
QMOS combines multiple sentiment dictionaries to improve word coverage limit of the individual lexicon. A major problem for a dictionary-based approach is the semantic gap between the prior polarity of a word presented by a lexicon and the word polarity in a specific context. This is due to the fact that, the polarity of a word depends on the context in which it is being used. Furthermore, the type of a sentence can also affect the performance of a sentiment analysis approach. Therefore, to tackle the aforementioned challenges, QMOS integrates multiple strategies to adjust word prior sentiment orientation while also considers the type of sentence. QMOS also employs the Semantic Sentiment Approach to determine the sentiment score of a word if it is not included in a sentiment lexicon.
On the other hand, the most of the existing methods fail to distinguish the meaning of a review sentence and user's query when both of them share the similar bag-of-words; hence there is often a conflict between the extracted opinionated sentences and users’ needs. However, the summarization phase of QMOS is able to avoid extracting a review sentence whose similarity with the user's query is high but whose meaning is different. The method also employs the greedy algorithm and query expansion approach to reduce redundancy and bridge the lexical gaps for similar contexts that are expressed using different wording, respectively. Our experiment shows that the QMOS method can significantly improve the performance and make QMOS comparable to other existing methods. |
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| AbstractList | •It combines multiple sentiment dictionaries to improve word coverage limit.•It integrates negation, but-clause, sarcasm, subjective/objective, question/ conditional handling.•It integrates the semantic relations between words, and their syntactic composition to capture the meaning in comparison between a sentence and the user query.•It expands the words in the query and sentences to tackle the problem of information limit.•Experiment results on Blog06 & DUC2006 displayed that it is to be preferred over the existing methods.
Sentiment analysis concerns the study of opinions expressed in a text. This paper presents the QMOS method, which employs a combination of sentiment analysis and summarization approaches. It is a lexicon-based method to query-based multi-documents summarization of opinion expressed in reviews.
QMOS combines multiple sentiment dictionaries to improve word coverage limit of the individual lexicon. A major problem for a dictionary-based approach is the semantic gap between the prior polarity of a word presented by a lexicon and the word polarity in a specific context. This is due to the fact that, the polarity of a word depends on the context in which it is being used. Furthermore, the type of a sentence can also affect the performance of a sentiment analysis approach. Therefore, to tackle the aforementioned challenges, QMOS integrates multiple strategies to adjust word prior sentiment orientation while also considers the type of sentence. QMOS also employs the Semantic Sentiment Approach to determine the sentiment score of a word if it is not included in a sentiment lexicon.
On the other hand, the most of the existing methods fail to distinguish the meaning of a review sentence and user's query when both of them share the similar bag-of-words; hence there is often a conflict between the extracted opinionated sentences and users’ needs. However, the summarization phase of QMOS is able to avoid extracting a review sentence whose similarity with the user's query is high but whose meaning is different. The method also employs the greedy algorithm and query expansion approach to reduce redundancy and bridge the lexical gaps for similar contexts that are expressed using different wording, respectively. Our experiment shows that the QMOS method can significantly improve the performance and make QMOS comparable to other existing methods. Sentiment analysis concerns the study of opinions expressed in a text. This paper presents the QMOS method, which employs a combination of sentiment analysis and summarization approaches. It is a lexicon-based method to query-based multi-documents summarization of opinion expressed in reviews. QMOS combines multiple sentiment dictionaries to improve word coverage limit of the individual lexicon. A major problem for a dictionary-based approach is the semantic gap between the prior polarity of a word presented by a lexicon and the word polarity in a specific context. This is due to the fact that, the polarity of a word depends on the context in which it is being used. Furthermore, the type of a sentence can also affect the performance of a sentiment analysis approach. Therefore, to tackle the aforementioned challenges, QMOS integrates multiple strategies to adjust word prior sentiment orientation while also considers the type of sentence. QMOS also employs the Semantic Sentiment Approach to determine the sentiment score of a word if it is not included in a sentiment lexicon. On the other hand, the most of the existing methods fail to distinguish the meaning of a review sentence and user's query when both of them share the similar bag-of-words; hence there is often a conflict between the extracted opinionated sentences and users’ needs. However, the summarization phase of QMOS is able to avoid extracting a review sentence whose similarity with the user's query is high but whose meaning is different. The method also employs the greedy algorithm and query expansion approach to reduce redundancy and bridge the lexical gaps for similar contexts that are expressed using different wording, respectively. Our experiment shows that the QMOS method can significantly improve the performance and make QMOS comparable to other existing methods. |
| Author | Abdi, Asad Aliguliyev, Ramiz M. Shamsuddin, Siti Mariyam |
| Author_xml | – sequence: 1 givenname: Asad surname: Abdi fullname: Abdi, Asad email: asadabdi55@gmail.com organization: UTM Big Data Centre (BDC), Universiti Teknologi Malaysia, Johor, Malaysia – sequence: 2 givenname: Siti Mariyam surname: Shamsuddin fullname: Shamsuddin, Siti Mariyam organization: UTM Big Data Centre (BDC), Universiti Teknologi Malaysia, Johor, Malaysia – sequence: 3 givenname: Ramiz M. surname: Aliguliyev fullname: Aliguliyev, Ramiz M. organization: Institute of Information Technology, Azerbaijan National Academy of Sciences, 9, B. Vahabzade Street, AZ1141 Baku, Azerbaijan |
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| Cites_doi | 10.1080/01690969108406936 10.1007/s10844-015-0372-5 10.1109/TKDE.2006.130 10.1016/j.procs.2015.02.088 10.1007/s10462-016-9472-z 10.1007/s10462-016-9475-9 10.1016/j.ipm.2016.12.002 10.1016/j.ipm.2010.10.002 10.1007/s10844-011-0194-z 10.1016/j.eswa.2013.10.034 10.1016/j.eswa.2012.05.070 10.2200/S00416ED1V01Y201204HLT016 10.1016/j.ipm.2015.04.003 10.1016/j.eswa.2016.10.065 10.1016/j.eswa.2013.12.042 10.1016/j.knosys.2016.02.011 10.1613/jair.1523 10.1016/j.ipm.2015.02.001 10.1111/j.1469-8137.1912.tb05611.x 10.1162/COLI_a_00049 10.1016/j.eswa.2015.05.026 10.1016/j.csl.2016.07.002 10.1016/j.knosys.2016.07.030 10.1007/978-3-642-28601-8_34 10.1016/j.ipm.2014.09.004 |
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| Keywords | Sentiment analysis Contextual polarity Sentiment summarization Sentiment dictionary |
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| References | Cerini, Compagnoni, Demontis, Formentelli, Gandini (bib0010) 2007 Wang, Zhang, Sun, Yang, Larson (bib0061) 2015; 51 Nielsen, F. Å. (2011). A new ANEW: Evaluation of a word list for sentiment analysis in microblogs. Balahur, Kabadjov, Steinberger, Steinberger, Montoyo (bib0007) 2012; 39 Jindal, Liu (bib0021) 2006 Riloff, Patwardhan, Wiebe (bib0047) 2006 Li, McLean, Bandar, O'shea, Crockett (bib0028) 2006; 18 Erkan, Radev (bib0014) 2004 Pérez, Gliozzo, Strapparava, Alfonseca, Rodríguez, Magnini (bib0044) 2005 Cambria, Poria, Bajpai, Schuller (bib0009) 2016 Khan, Qamar, Bashir (bib0022) 2016 Stone, Hunt (bib0052) 1963 Hung, Chen (bib0019) 2016; 110 Lloret, Boldrini, Vodolazova, Martínez-Barco, Muñoz, Palomar (bib0032) 2015; 42 Abdi, Idris, Alguliyev, Aliguliyev (bib0003) 2015 Chali, Hasan, Joty (bib0011) 2011; 47 Sadh, Sahu, Srivastava, Sanyal, Sanyal (bib0049) 2012 Lee, Choeh (bib0025) 2014; 41 Li, Lee, Chen, Huang, Zhou (bib0026) 2010 Mendoza, Bonilla, Noguera, Cobos, León (bib0035) 2014; 41 Badrinath, Venkatasubramaniyan, Madhavan (bib0006) 2011 . Wang, Zhu, Li (bib0060) 2013; 40 Hu, Liu (bib0017) 2004 Abdi, Idris (bib0001) 2014 Baccianella, Esuli, Sebastiani (bib0005) 2010; Vol. 10 Saggionα, Funk (bib0050) 2010 Tsuruoka, Tsujii (bib0056) 2005 Khan, Qamar, Bashir (bib0023) 2016; 100 Hu, Chen, Chou (bib0018) 2017; 53 Strapparava, Valitutti (bib0053) 2004; Vol. 4 Xia, Xu, Yu, Qi, Cambria (bib0062) 2016; 52 Miller, Charles (bib0036) 1991; 6 Paul, Zhai, Girju (bib0043) 2010 Jaccard (bib0020) 1912; 11 Wan, Yang, Xiao (bib0059) 2007; Vol. 7 Lin, Hoang, Qiu, Ye, Kan (bib0030) 2008 Tayal, Raghuwanshi, Malik (bib0055) 2017; 41 Li, You, Hu, Wei (bib0027) 2008 Mohammad, S. M., Kiritchenko, S., & Zhu, X. (2013). NRC-Canada: Building the state-of-the-art in sentiment analysis of tweets. Liu (bib0031) 2012; 5 Nishikawa, Hasegawa, Matsuo, Kikui (bib0041) 2010 Povoda, Burget, Dutta (bib0045) 2016 Zhang, Li, Liu, Ji, Xi, Fan (bib0063) 2005 Lunando, Purwarianti (bib0034) 2013 Chen, Xu, He, Wang (bib0012) 2017; 72 Gambhir, Gupta (bib0015) 2017; 47 Riloff, Wiebe (bib0048) 2003 Narayanan, Liu, Choudhary (bib0039) 2009 Taboada, Brooke, Tofiloski, Voll, Stede (bib0054) 2011; 37 Abdi, Idris, Alguliev, Aliguliyev (bib0002) 2015; 51 Kolchyna, O., Souza, T. T., Treleaven, P., & Aste, T. (2015). Twitter sentiment analysis: Lexicon method, machine learning method and their combination. He, Chen, Gui, Li (bib0016) 2008 Otterbacher, Erkan, Radev (bib0042) 2005 Cruz, Troyano, Ortega, Enríquez (bib0013) 2008 Lin (bib0029) 2004 Mladenović, Mitrović, Krstev, Vitas (bib0037) 2016; 46 Bharti, Babu, Jena (bib0008) 2015 Abdi, Idris (bib0004) 2014; 3 Vani, Gupta (bib0057) 2014 Varma, Pingali, Katragadda, Krishna, Ganesh, Sarvabhotla (bib0058) 2008 Lu, Duan, Wang, Zhai (bib0033) 2010 Rana, Cheah (bib0046) 2016; 46 Shahana, Omman (bib0051) 2015; 46 Badrinath (10.1016/j.ipm.2017.12.002_bib0006) 2011 Zhang (10.1016/j.ipm.2017.12.002_bib0063) 2005 Lunando (10.1016/j.ipm.2017.12.002_bib0034) 2013 Erkan (10.1016/j.ipm.2017.12.002_bib0014) 2004 Tayal (10.1016/j.ipm.2017.12.002_bib0055) 2017; 41 Stone (10.1016/j.ipm.2017.12.002_bib0052) 1963 Miller (10.1016/j.ipm.2017.12.002_bib0036) 1991; 6 10.1016/j.ipm.2017.12.002_bib0024 Lloret (10.1016/j.ipm.2017.12.002_bib0032) 2015; 42 Abdi (10.1016/j.ipm.2017.12.002_bib0003) 2015 Povoda (10.1016/j.ipm.2017.12.002_bib0045) 2016 Lu (10.1016/j.ipm.2017.12.002_bib0033) 2010 Cambria (10.1016/j.ipm.2017.12.002_bib0009) 2016 Hung (10.1016/j.ipm.2017.12.002_bib0019) 2016; 110 Taboada (10.1016/j.ipm.2017.12.002_bib0054) 2011; 37 Xia (10.1016/j.ipm.2017.12.002_bib0062) 2016; 52 Jaccard (10.1016/j.ipm.2017.12.002_bib0020) 1912; 11 Lin (10.1016/j.ipm.2017.12.002_bib0029) 2004 10.1016/j.ipm.2017.12.002_bib0038 Nishikawa (10.1016/j.ipm.2017.12.002_bib0041) 2010 Abdi (10.1016/j.ipm.2017.12.002_bib0002) 2015; 51 He (10.1016/j.ipm.2017.12.002_bib0016) 2008 Paul (10.1016/j.ipm.2017.12.002_bib0043) 2010 Li (10.1016/j.ipm.2017.12.002_bib0027) 2008 Jindal (10.1016/j.ipm.2017.12.002_bib0021) 2006 Wan (10.1016/j.ipm.2017.12.002_bib0059) 2007; Vol. 7 Hu (10.1016/j.ipm.2017.12.002_bib0018) 2017; 53 Lee (10.1016/j.ipm.2017.12.002_bib0025) 2014; 41 Varma (10.1016/j.ipm.2017.12.002_bib0058) 2008 10.1016/j.ipm.2017.12.002_bib0040 Vani (10.1016/j.ipm.2017.12.002_bib0057) 2014 Rana (10.1016/j.ipm.2017.12.002_bib0046) 2016; 46 Tsuruoka (10.1016/j.ipm.2017.12.002_bib0056) 2005 Gambhir (10.1016/j.ipm.2017.12.002_bib0015) 2017; 47 Khan (10.1016/j.ipm.2017.12.002_bib0022) 2016 Pérez (10.1016/j.ipm.2017.12.002_bib0044) 2005 Saggionα (10.1016/j.ipm.2017.12.002_bib0050) 2010 Sadh (10.1016/j.ipm.2017.12.002_bib0049) 2012 Hu (10.1016/j.ipm.2017.12.002_bib0017) 2004 Chali (10.1016/j.ipm.2017.12.002_bib0011) 2011; 47 Li (10.1016/j.ipm.2017.12.002_bib0028) 2006; 18 Li (10.1016/j.ipm.2017.12.002_bib0026) 2010 Mladenović (10.1016/j.ipm.2017.12.002_bib0037) 2016; 46 Wang (10.1016/j.ipm.2017.12.002_bib0061) 2015; 51 Lin (10.1016/j.ipm.2017.12.002_bib0030) 2008 Bharti (10.1016/j.ipm.2017.12.002_bib0008) 2015 Cruz (10.1016/j.ipm.2017.12.002_bib0013) 2008 Mendoza (10.1016/j.ipm.2017.12.002_bib0035) 2014; 41 Abdi (10.1016/j.ipm.2017.12.002_bib0004) 2014; 3 Shahana (10.1016/j.ipm.2017.12.002_bib0051) 2015; 46 Riloff (10.1016/j.ipm.2017.12.002_bib0048) 2003 Baccianella (10.1016/j.ipm.2017.12.002_bib0005) 2010; Vol. 10 Narayanan (10.1016/j.ipm.2017.12.002_bib0039) 2009 Strapparava (10.1016/j.ipm.2017.12.002_bib0053) 2004; Vol. 4 Otterbacher (10.1016/j.ipm.2017.12.002_bib0042) 2005 Chen (10.1016/j.ipm.2017.12.002_bib0012) 2017; 72 Wang (10.1016/j.ipm.2017.12.002_bib0060) 2013; 40 Khan (10.1016/j.ipm.2017.12.002_bib0023) 2016; 100 Balahur (10.1016/j.ipm.2017.12.002_bib0007) 2012; 39 Abdi (10.1016/j.ipm.2017.12.002_bib0001) 2014 Liu (10.1016/j.ipm.2017.12.002_bib0031) 2012; 5 Cerini (10.1016/j.ipm.2017.12.002_bib0010) 2007 Riloff (10.1016/j.ipm.2017.12.002_bib0047) 2006 |
| References_xml | – start-page: 635 year: 2010 end-page: 643 ident: bib0026 article-title: Sentiment classification and polarity shifting publication-title: Proceedings of the 23rd international conference on computational linguistics – start-page: 1 year: 2015 end-page: 17 ident: bib0003 article-title: Query-based multi-documents summarization using linguistic knowledge and content word expansion publication-title: Soft Computing – start-page: 195 year: 2013 end-page: 198 ident: bib0034 article-title: Indonesian social media sentiment analysis with sarcasm detection publication-title: Advanced computer science and information systems (ICACSIS), 2013 international conference on – start-page: 402 year: 2012 end-page: 413 ident: bib0049 article-title: Extraction of relevant figures and tables for multi-document summarization publication-title: Computational Linguistics and Intelligent Text Processing – year: 2014 ident: bib0001 article-title: Automated summarization assessment system: Quality assessment without a reference summary publication-title: The International Conference On Advances In Applied Science And Environmental Engineering - ASEE 2014 – volume: 46 start-page: 1585 year: 2015 end-page: 1592 ident: bib0051 article-title: Evaluation of features on sentimental analysis publication-title: Procedia Computer Science – start-page: 358 year: 2005 end-page: 363 ident: bib0044 article-title: Automatic assessment of students' free-text answers underpinned by the combination of a BLEU-inspired algorithm and latent semantic analysis publication-title: FLAIRS Conference – volume: 37 start-page: 267 year: 2011 end-page: 307 ident: bib0054 article-title: Lexicon-based methods for sentiment analysis publication-title: Computational Linguistics – volume: 100 start-page: 97 year: 2016 end-page: 111 ident: bib0023 article-title: SWIMS: Semi-supervised subjective feature weighting and intelligent model selection for sentiment analysis publication-title: Knowledge-Based Systems – start-page: 241 year: 1963 end-page: 256 ident: bib0052 article-title: A computer approach to content analysis: Studies using the general inquirer system publication-title: Proceedings of the May 21-23, 1963, spring joint computer conference – volume: 11 start-page: 37 year: 1912 end-page: 50 ident: bib0020 article-title: The distribution of the flora in the alpine zone publication-title: New phytologist – start-page: 915 year: 2005 end-page: 922 ident: bib0042 article-title: Using random walks for question-focused sentence retrieval publication-title: Proceedings of the conference on human language technology and empirical methods in natural language processing – volume: 40 start-page: 27 year: 2013 end-page: 33 ident: bib0060 article-title: SumView: A Web-based engine for summarizing product reviews and customer opinions publication-title: Expert Systems with Applications – volume: Vol. 7 start-page: 2903 year: 2007 end-page: 2908 ident: bib0059 article-title: Manifold-ranking based topic-focused multi-document summarization publication-title: IJCAI – start-page: 543 year: 2016 end-page: 545 ident: bib0045 article-title: Sentiment analysis based on support vector machine and big data publication-title: Telecommunications and signal processing (TSP), 2016 39th international conference on – volume: 46 start-page: 459 year: 2016 end-page: 483 ident: bib0046 article-title: Aspect extraction in sentiment analysis: Comparative analysis and survey publication-title: Artificial Intelligence Review – volume: 47 start-page: 843 year: 2011 end-page: 855 ident: bib0011 article-title: Improving graph-based random walks for complex question answering using syntactic, shallow semantic and extended string subsequence kernels publication-title: Information Processing & Management – volume: 42 start-page: 7148 year: 2015 end-page: 7156 ident: bib0032 article-title: A novel concept-level approach for ultra-concise opinion summarization publication-title: Expert Systems with Applications – start-page: 440 year: 2006 end-page: 448 ident: bib0047 article-title: Feature subsumption for opinion analysis publication-title: Proceedings of the 2006 conference on empirical methods in natural language processing – volume: 3 start-page: 466 year: 2014 end-page: 472 ident: bib0004 article-title: An analysis on student-written summaries: Automatic assessment of summary writing publication-title: International Journal of Enhanced Research in Science Technology & Engineering – reference: Kolchyna, O., Souza, T. T., Treleaven, P., & Aste, T. (2015). Twitter sentiment analysis: Lexicon method, machine learning method and their combination. – start-page: 180 year: 2009 end-page: 189 ident: bib0039 article-title: Sentiment analysis of conditional sentences publication-title: Proceedings of the 2009 conference on empirical methods in natural language processing: Volume 1-volume 1 – volume: 72 start-page: 221 year: 2017 end-page: 230 ident: bib0012 article-title: Improving sentiment analysis via sentence type classification using BiLSTM-CRF and CNN publication-title: Expert Systems with Applications – year: 2008 ident: bib0030 article-title: NUS at TAC 2008: Augumenting timestamped graphs with event information and selectively expanding opinion contexts publication-title: TAC – volume: 51 start-page: 340 year: 2015 end-page: 358 ident: bib0002 article-title: Automatic summarization assessment through a combination of semantic and syntactic information for intelligent educational systems publication-title: Information Processing & Management – year: 2008 ident: bib0013 article-title: The italica system at TAC 2008 opinion summarization task publication-title: TAC – start-page: 1373 year: 2015 end-page: 1380 ident: bib0008 article-title: Parsing-based sarcasm sentiment recognition in Twitter data publication-title: Advances in social networks analysis and mining (ASONAM), 2015 IEEE/ACM international conference on – start-page: 457 year: 2004 end-page: 479 ident: bib0014 article-title: LexRank: Graph-based lexical centrality as salience in text summarization publication-title: Journal of Artificial Intelligence Research – volume: 52 start-page: 36 year: 2016 end-page: 45 ident: bib0062 article-title: Polarity shift detection, elimination and ensemble: A three-stage model for document-level sentiment analysis publication-title: Information Processing & Management – volume: 47 start-page: 1 year: 2017 end-page: 66 ident: bib0015 article-title: Recent automatic text summarization techniques: A survey publication-title: Artificial Intelligence Review – volume: 41 start-page: 3041 year: 2014 end-page: 3046 ident: bib0025 article-title: Predicting the helpfulness of online reviews using multilayer perceptron neural networks publication-title: Expert Systems with Applications – volume: Vol. 10 start-page: 2200 year: 2010 end-page: 2204 ident: bib0005 article-title: SentiWordNet 3.0: An enhanced lexical resource for sentiment analysis and opinion mining publication-title: LREC – start-page: 105 year: 2003 end-page: 112 ident: bib0048 article-title: Learning extraction patterns for subjective expressions publication-title: Proceedings of the 2003 conference on Empirical methods in natural language processing – volume: 53 start-page: 436 year: 2017 end-page: 449 ident: bib0018 article-title: Opinion mining from online hotel reviews–A text summarization approach publication-title: Information Processing & Management – volume: 39 start-page: 375 year: 2012 end-page: 398 ident: bib0007 article-title: Challenges and solutions in the opinion summarization of user-generated content publication-title: Journal of Intelligent Information Systems – volume: 5 start-page: 1 year: 2012 end-page: 167 ident: bib0031 article-title: Sentiment analysis and opinion mining publication-title: Synthesis lectures on human language technologies – start-page: 74 year: 2004 end-page: 81 ident: bib0029 article-title: Rouge: A package for automatic evaluation of summaries publication-title: Text summarization branches out: Proceedings of the ACL-04 workshop – start-page: 910 year: 2010 end-page: 918 ident: bib0041 article-title: Opinion summarization with integer linear programming formulation for sentence extraction and ordering publication-title: Proceedings of the 23rd international conference on computational linguistics: Posters – start-page: 244 year: 2006 end-page: 251 ident: bib0021 article-title: Identifying comparative sentences in text documents publication-title: Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval – start-page: 66 year: 2010 end-page: 76 ident: bib0043 article-title: Summarizing contrastive viewpoints in opinionated text publication-title: Proceedings of the 2010 conference on empirical methods in natural language processing – start-page: 504 year: 2005 end-page: 511 ident: bib0063 article-title: Improving web search results using affinity graph publication-title: Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval – year: 2008 ident: bib0016 article-title: CCNU at TAC 2008: Proceeding on using semantic method for automated summarization yield publication-title: TAC – start-page: 1 year: 2016 end-page: 22 ident: bib0022 article-title: A semi-supervised approach to sentiment analysis using revised sentiment strength based on SentiWordNet publication-title: Knowledge and information Systems – volume: 6 start-page: 1 year: 1991 end-page: 28 ident: bib0036 article-title: Contextual correlates of semantic similarity publication-title: Language and cognitive processes – volume: Vol. 4 start-page: 1083 year: 2004 end-page: 1086 ident: bib0053 article-title: WordNet affect: An affective extension of WordNet publication-title: LREC – start-page: 1268 year: 2014 end-page: 1273 ident: bib0057 article-title: Using K-means cluster based techniques in external plagiarism detection publication-title: Contemporary Computing and Informatics (IC3I), 2014 International Conference on – volume: 46 start-page: 599 year: 2016 end-page: 620 ident: bib0037 article-title: Hybrid sentiment analysis framework for a morphologically rich language publication-title: Journal of Intelligent Information Systems – reference: Nielsen, F. Å. (2011). A new ANEW: Evaluation of a word list for sentiment analysis in microblogs. – start-page: 168 year: 2004 end-page: 177 ident: bib0017 article-title: Mining and summarizing customer reviews publication-title: Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining – start-page: 734 year: 2010 end-page: 742 ident: bib0033 article-title: Exploiting structured ontology to organize scattered online opinions publication-title: Proceedings of the 23rd international conference on computational linguistics – volume: 41 start-page: 214 year: 2017 end-page: 235 ident: bib0055 article-title: ATSSC: Development of an approach based on soft computing for text summarization publication-title: Computer Speech & Language – year: 2008 ident: bib0058 article-title: IIIT Hyderabad at TAC 2008 publication-title: TAC – start-page: 2666 year: 2016 end-page: 2677 ident: bib0009 article-title: SenticNet 4: A semantic resource for sentiment analysis based on conceptual primitives publication-title: COLING – reference: . – volume: 41 start-page: 4158 year: 2014 end-page: 4169 ident: bib0035 article-title: Extractive single-document summarization based on genetic operators and guided local search publication-title: Expert Systems with Applications – year: 2008 ident: bib0027 article-title: PolyU at TAC 2008 publication-title: TAC – volume: 18 start-page: 1138 year: 2006 end-page: 1150 ident: bib0028 article-title: Sentence similarity based on semantic nets and corpus statistics publication-title: Knowledge and Data Engineering, IEEE Transactions on – volume: 110 start-page: 224 year: 2016 end-page: 232 ident: bib0019 article-title: Word sense disambiguation based sentiment lexicons for sentiment classification publication-title: Knowledge-Based Systems – year: 2010 ident: bib0050 article-title: Interpreting SentiWordNet for opinion classification publication-title: Proceedings of the seventh conference on international language resources and evaluation LREC10 – start-page: 467 year: 2005 end-page: 474 ident: bib0056 article-title: Bidirectional inference with the easiest-first strategy for tagging sequence data publication-title: Proceedings of the conference on human language technology and empirical methods in natural language processing – start-page: 641 year: 2011 end-page: 652 ident: bib0006 article-title: Improving query focused summarization using look-ahead strategy publication-title: Advances in information retrieval – reference: Mohammad, S. M., Kiritchenko, S., & Zhu, X. (2013). NRC-Canada: Building the state-of-the-art in sentiment analysis of tweets. – start-page: 200 year: 2007 end-page: 210 ident: bib0010 article-title: Micro-WNOp: A gold standard for the evaluation of automatically compiled lexical resources for opinion mining publication-title: Language resources and linguistic theory: Typology, second language acquisition, English linguistics – volume: 51 start-page: 458 year: 2015 end-page: 479 ident: bib0061 article-title: POS-RS: A random subspace method for sentiment classification based on part-of-speech analysis publication-title: Information Processing & Management – volume: 6 start-page: 1 year: 1991 ident: 10.1016/j.ipm.2017.12.002_bib0036 article-title: Contextual correlates of semantic similarity publication-title: Language and cognitive processes doi: 10.1080/01690969108406936 – volume: 46 start-page: 599 year: 2016 ident: 10.1016/j.ipm.2017.12.002_bib0037 article-title: Hybrid sentiment analysis framework for a morphologically rich language publication-title: Journal of Intelligent Information Systems doi: 10.1007/s10844-015-0372-5 – start-page: 1373 year: 2015 ident: 10.1016/j.ipm.2017.12.002_bib0008 article-title: Parsing-based sarcasm sentiment recognition in Twitter data – start-page: 1268 year: 2014 ident: 10.1016/j.ipm.2017.12.002_bib0057 article-title: Using K-means cluster based techniques in external plagiarism detection – start-page: 1 year: 2016 ident: 10.1016/j.ipm.2017.12.002_bib0022 article-title: A semi-supervised approach to sentiment analysis using revised sentiment strength based on SentiWordNet publication-title: Knowledge and information Systems – start-page: 1 year: 2015 ident: 10.1016/j.ipm.2017.12.002_bib0003 article-title: Query-based multi-documents summarization using linguistic knowledge and content word expansion publication-title: Soft Computing – ident: 10.1016/j.ipm.2017.12.002_bib0024 – volume: 18 start-page: 1138 year: 2006 ident: 10.1016/j.ipm.2017.12.002_bib0028 article-title: Sentence similarity based on semantic nets and corpus statistics publication-title: Knowledge and Data Engineering, IEEE Transactions on doi: 10.1109/TKDE.2006.130 – start-page: 635 year: 2010 ident: 10.1016/j.ipm.2017.12.002_bib0026 article-title: Sentiment classification and polarity shifting – volume: 46 start-page: 1585 year: 2015 ident: 10.1016/j.ipm.2017.12.002_bib0051 article-title: Evaluation of features on sentimental analysis publication-title: Procedia Computer Science doi: 10.1016/j.procs.2015.02.088 – volume: 46 start-page: 459 year: 2016 ident: 10.1016/j.ipm.2017.12.002_bib0046 article-title: Aspect extraction in sentiment analysis: Comparative analysis and survey publication-title: Artificial Intelligence Review doi: 10.1007/s10462-016-9472-z – year: 2014 ident: 10.1016/j.ipm.2017.12.002_bib0001 article-title: Automated summarization assessment system: Quality assessment without a reference summary – start-page: 641 year: 2011 ident: 10.1016/j.ipm.2017.12.002_bib0006 article-title: Improving query focused summarization using look-ahead strategy – start-page: 244 year: 2006 ident: 10.1016/j.ipm.2017.12.002_bib0021 article-title: Identifying comparative sentences in text documents – volume: 47 start-page: 1 year: 2017 ident: 10.1016/j.ipm.2017.12.002_bib0015 article-title: Recent automatic text summarization techniques: A survey publication-title: Artificial Intelligence Review doi: 10.1007/s10462-016-9475-9 – volume: 53 start-page: 436 year: 2017 ident: 10.1016/j.ipm.2017.12.002_bib0018 article-title: Opinion mining from online hotel reviews–A text summarization approach publication-title: Information Processing & Management doi: 10.1016/j.ipm.2016.12.002 – volume: Vol. 10 start-page: 2200 year: 2010 ident: 10.1016/j.ipm.2017.12.002_bib0005 article-title: SentiWordNet 3.0: An enhanced lexical resource for sentiment analysis and opinion mining – volume: 47 start-page: 843 year: 2011 ident: 10.1016/j.ipm.2017.12.002_bib0011 article-title: Improving graph-based random walks for complex question answering using syntactic, shallow semantic and extended string subsequence kernels publication-title: Information Processing & Management doi: 10.1016/j.ipm.2010.10.002 – volume: 39 start-page: 375 year: 2012 ident: 10.1016/j.ipm.2017.12.002_bib0007 article-title: Challenges and solutions in the opinion summarization of user-generated content publication-title: Journal of Intelligent Information Systems doi: 10.1007/s10844-011-0194-z – ident: 10.1016/j.ipm.2017.12.002_bib0038 – ident: 10.1016/j.ipm.2017.12.002_bib0040 – start-page: 467 year: 2005 ident: 10.1016/j.ipm.2017.12.002_bib0056 article-title: Bidirectional inference with the easiest-first strategy for tagging sequence data – year: 2008 ident: 10.1016/j.ipm.2017.12.002_bib0016 article-title: CCNU at TAC 2008: Proceeding on using semantic method for automated summarization yield – volume: 41 start-page: 3041 year: 2014 ident: 10.1016/j.ipm.2017.12.002_bib0025 article-title: Predicting the helpfulness of online reviews using multilayer perceptron neural networks publication-title: Expert Systems with Applications doi: 10.1016/j.eswa.2013.10.034 – start-page: 910 year: 2010 ident: 10.1016/j.ipm.2017.12.002_bib0041 article-title: Opinion summarization with integer linear programming formulation for sentence extraction and ordering – volume: 40 start-page: 27 year: 2013 ident: 10.1016/j.ipm.2017.12.002_bib0060 article-title: SumView: A Web-based engine for summarizing product reviews and customer opinions publication-title: Expert Systems with Applications doi: 10.1016/j.eswa.2012.05.070 – start-page: 200 year: 2007 ident: 10.1016/j.ipm.2017.12.002_bib0010 article-title: Micro-WNOp: A gold standard for the evaluation of automatically compiled lexical resources for opinion mining publication-title: Language resources and linguistic theory: Typology, second language acquisition, English linguistics – volume: Vol. 4 start-page: 1083 year: 2004 ident: 10.1016/j.ipm.2017.12.002_bib0053 article-title: WordNet affect: An affective extension of WordNet – start-page: 241 year: 1963 ident: 10.1016/j.ipm.2017.12.002_bib0052 article-title: A computer approach to content analysis: Studies using the general inquirer system – year: 2008 ident: 10.1016/j.ipm.2017.12.002_bib0030 article-title: NUS at TAC 2008: Augumenting timestamped graphs with event information and selectively expanding opinion contexts – start-page: 2666 year: 2016 ident: 10.1016/j.ipm.2017.12.002_bib0009 article-title: SenticNet 4: A semantic resource for sentiment analysis based on conceptual primitives – volume: 5 start-page: 1 year: 2012 ident: 10.1016/j.ipm.2017.12.002_bib0031 article-title: Sentiment analysis and opinion mining publication-title: Synthesis lectures on human language technologies doi: 10.2200/S00416ED1V01Y201204HLT016 – start-page: 180 year: 2009 ident: 10.1016/j.ipm.2017.12.002_bib0039 article-title: Sentiment analysis of conditional sentences – volume: 3 start-page: 466 year: 2014 ident: 10.1016/j.ipm.2017.12.002_bib0004 article-title: An analysis on student-written summaries: Automatic assessment of summary writing publication-title: International Journal of Enhanced Research in Science Technology & Engineering – start-page: 66 year: 2010 ident: 10.1016/j.ipm.2017.12.002_bib0043 article-title: Summarizing contrastive viewpoints in opinionated text – year: 2008 ident: 10.1016/j.ipm.2017.12.002_bib0027 article-title: PolyU at TAC 2008 – start-page: 734 year: 2010 ident: 10.1016/j.ipm.2017.12.002_bib0033 article-title: Exploiting structured ontology to organize scattered online opinions – volume: 52 start-page: 36 year: 2016 ident: 10.1016/j.ipm.2017.12.002_bib0062 article-title: Polarity shift detection, elimination and ensemble: A three-stage model for document-level sentiment analysis publication-title: Information Processing & Management doi: 10.1016/j.ipm.2015.04.003 – volume: 72 start-page: 221 year: 2017 ident: 10.1016/j.ipm.2017.12.002_bib0012 article-title: Improving sentiment analysis via sentence type classification using BiLSTM-CRF and CNN publication-title: Expert Systems with Applications doi: 10.1016/j.eswa.2016.10.065 – start-page: 195 year: 2013 ident: 10.1016/j.ipm.2017.12.002_bib0034 article-title: Indonesian social media sentiment analysis with sarcasm detection – volume: Vol. 7 start-page: 2903 year: 2007 ident: 10.1016/j.ipm.2017.12.002_bib0059 article-title: Manifold-ranking based topic-focused multi-document summarization – volume: 41 start-page: 4158 year: 2014 ident: 10.1016/j.ipm.2017.12.002_bib0035 article-title: Extractive single-document summarization based on genetic operators and guided local search publication-title: Expert Systems with Applications doi: 10.1016/j.eswa.2013.12.042 – start-page: 440 year: 2006 ident: 10.1016/j.ipm.2017.12.002_bib0047 article-title: Feature subsumption for opinion analysis – volume: 100 start-page: 97 year: 2016 ident: 10.1016/j.ipm.2017.12.002_bib0023 article-title: SWIMS: Semi-supervised subjective feature weighting and intelligent model selection for sentiment analysis publication-title: Knowledge-Based Systems doi: 10.1016/j.knosys.2016.02.011 – start-page: 168 year: 2004 ident: 10.1016/j.ipm.2017.12.002_bib0017 article-title: Mining and summarizing customer reviews – start-page: 74 year: 2004 ident: 10.1016/j.ipm.2017.12.002_bib0029 article-title: Rouge: A package for automatic evaluation of summaries – start-page: 457 year: 2004 ident: 10.1016/j.ipm.2017.12.002_bib0014 article-title: LexRank: Graph-based lexical centrality as salience in text summarization publication-title: Journal of Artificial Intelligence Research doi: 10.1613/jair.1523 – year: 2008 ident: 10.1016/j.ipm.2017.12.002_bib0058 article-title: IIIT Hyderabad at TAC 2008 – start-page: 915 year: 2005 ident: 10.1016/j.ipm.2017.12.002_bib0042 article-title: Using random walks for question-focused sentence retrieval – start-page: 358 year: 2005 ident: 10.1016/j.ipm.2017.12.002_bib0044 article-title: Automatic assessment of students' free-text answers underpinned by the combination of a BLEU-inspired algorithm and latent semantic analysis – volume: 51 start-page: 340 year: 2015 ident: 10.1016/j.ipm.2017.12.002_bib0002 article-title: Automatic summarization assessment through a combination of semantic and syntactic information for intelligent educational systems publication-title: Information Processing & Management doi: 10.1016/j.ipm.2015.02.001 – start-page: 105 year: 2003 ident: 10.1016/j.ipm.2017.12.002_bib0048 article-title: Learning extraction patterns for subjective expressions – volume: 11 start-page: 37 year: 1912 ident: 10.1016/j.ipm.2017.12.002_bib0020 article-title: The distribution of the flora in the alpine zone publication-title: New phytologist doi: 10.1111/j.1469-8137.1912.tb05611.x – volume: 37 start-page: 267 year: 2011 ident: 10.1016/j.ipm.2017.12.002_bib0054 article-title: Lexicon-based methods for sentiment analysis publication-title: Computational Linguistics doi: 10.1162/COLI_a_00049 – volume: 42 start-page: 7148 year: 2015 ident: 10.1016/j.ipm.2017.12.002_bib0032 article-title: A novel concept-level approach for ultra-concise opinion summarization publication-title: Expert Systems with Applications doi: 10.1016/j.eswa.2015.05.026 – volume: 41 start-page: 214 year: 2017 ident: 10.1016/j.ipm.2017.12.002_bib0055 article-title: ATSSC: Development of an approach based on soft computing for text summarization publication-title: Computer Speech & Language doi: 10.1016/j.csl.2016.07.002 – start-page: 504 year: 2005 ident: 10.1016/j.ipm.2017.12.002_bib0063 article-title: Improving web search results using affinity graph – year: 2008 ident: 10.1016/j.ipm.2017.12.002_bib0013 article-title: The italica system at TAC 2008 opinion summarization task – volume: 110 start-page: 224 year: 2016 ident: 10.1016/j.ipm.2017.12.002_bib0019 article-title: Word sense disambiguation based sentiment lexicons for sentiment classification publication-title: Knowledge-Based Systems doi: 10.1016/j.knosys.2016.07.030 – start-page: 402 year: 2012 ident: 10.1016/j.ipm.2017.12.002_bib0049 article-title: Extraction of relevant figures and tables for multi-document summarization publication-title: Computational Linguistics and Intelligent Text Processing doi: 10.1007/978-3-642-28601-8_34 – start-page: 543 year: 2016 ident: 10.1016/j.ipm.2017.12.002_bib0045 article-title: Sentiment analysis based on support vector machine and big data – year: 2010 ident: 10.1016/j.ipm.2017.12.002_bib0050 article-title: Interpreting SentiWordNet for opinion classification – volume: 51 start-page: 458 year: 2015 ident: 10.1016/j.ipm.2017.12.002_bib0061 article-title: POS-RS: A random subspace method for sentiment classification based on part-of-speech analysis publication-title: Information Processing & Management doi: 10.1016/j.ipm.2014.09.004 |
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| Snippet | •It combines multiple sentiment dictionaries to improve word coverage limit.•It integrates negation, but-clause, sarcasm, subjective/objective, question/... Sentiment analysis concerns the study of opinions expressed in a text. This paper presents the QMOS method, which employs a combination of sentiment analysis... |
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| SubjectTerms | Algorithms Attitudes Automatic summarization Context Contextual polarity Data mining Dictionaries Greedy algorithms Information retrieval Lexicon Meaning Opinions Performance enhancement Polarity Queries Query expansion Redundancy Semantics Sentences Sentiment analysis Sentiment dictionary Sentiment summarization Wording |
| Title | QMOS: Query-based multi-documents opinion-oriented summarization |
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