Výsledky vyhľadávania - "lexicon-based approach"

Sentiment analysis of cash waqf using the SentiStrength lexicon-based approach

Autori: Syahdatul Maulida Nashr Akbar Salina Kassim

Zdroj: Journal of Islamic Economics Lariba; Vol. 11 No. 2 (2025); 767-790

Predmety: lexicon-based approach, SentiStrength, sentiment analysis, cash waqf, Scopus

Popis súboru: application/pdf

Prístupová URL adresa: https://journal.uii.ac.id/JIELariba/article/view/40276

Análisis de sentimientos de startups usando un enfoque basado en léxicos

Autori: Fortich Mesa, Roberto Carlos Muñoz Guzmán, Michael Santís Puche, María Alejandra

Zdroj: Publicaciones e Investigación; Vol. 19 No. 1 (2025)
Publicaciones e Investigación; Vol. 19 Núm. 1 (2025)

Predmety: start ups, Sentiment analysis, Análisis de sentimientos, lexicon-based approach, expectativas de inversionistas, minería de texto, text-mining, método basado en lexicones, investors expectations, Comunicaciones, Communications

Popis súboru: application/pdf

Prístupová URL adresa: https://repository.unad.edu.co/handle/10596/71023
https://hemeroteca.unad.edu.co/index.php/publicaciones-e-investigacion/article/view/9174

Personalization of Programming Education:An NLP-Based Bi-dimensional Classification of Programming Exercises

Autori: Lombarts, Tommie Walravens, Gijs Seraj, Mazyar a ďalší

Prispievatelia: Lombarts, Tommie Walravens, Gijs Seraj, Mazyar a ďalší

Zdroj: Lombarts, T, Walravens, G, Seraj, M, Ochoa Venegas, L & van den Brand, M G J 2025, Personalization of Programming Education : An NLP-Based Bi-dimensional Classification of Programming Exercises. in M Henz, F Hermans & D Patterson (eds), SPLASH-E'25 : Proceedings of the 2025 ACM SIGPLAN International Symposium on SPLASH-E. Association for Computing Machinery, Inc., New York, pp. 90-101, 2025 ACM SIGPLAN International Symposium on SPLASH-E, SPLACH-E 2025, Singapore, Singapore, 12/10/25. https://doi.org/10.1145/3758317.3759684

Predmety: difficulty level prediction, lexicon-based approach, natural language processing, programming education, topic modeling

Popis súboru: application/pdf

Relation: info:eu-repo/semantics/altIdentifier/isbn/979-8-4007-2142-7

Dostupnosť: https://research.tue.nl/en/publications/806f42f6-ce1b-4e1a-bc29-3bb6d893df8d
https://doi.org/10.1145/3758317.3759684
https://pure.tue.nl/ws/files/367082736/manuscript-camera-ready.pdf
https://pure.tue.nl/ws/files/370334971/3758317.3759684.pdf
https://www.scopus.com/pages/publications/105021331011

Political Security Threat Prediction Framework Using Hybrid Lexicon-Based Approach and Machine Learning Technique

Autori: Noor Afiza Mat Razali Nur Atiqah Malizan Nor Asiakin Hasbullah a ďalší

Zdroj: IEEE Access, Vol 11, Pp 17151-17164 (2023)

Predmety: Artificial intelligence, Support vector machine, Sociology and Political Science, Computer Networks and Communications, FOS: Political science, Social Sciences, FOS: Law, 02 engineering and technology, 7. Clean energy, Cyberspace, Sentiment analysis, 5. Gender equality, Artificial Intelligence, Computer security, Aspect-based Sentiment Analysis, Machine learning, Sentiment Analysis, Decision tree, 0202 electrical engineering, electronic engineering, information engineering, Political science, Lexicon, Naive Bayes classifier, National security, 16. Peace & justice, Computer science, TK1-9971, World Wide Web, machine learning, Sentiment Analysis and Opinion Mining, lexicon-based approach, 13. Climate action, Emotion Recognition, Computer Science, Physical Sciences, opinion mining, Network Intrusion Detection and Defense Mechanisms, Terrorism and Radicalization Studies, Electrical engineering. Electronics. Nuclear engineering, national security, political security, Law, The Internet

Prístupová URL adresa: https://doaj.org/article/c780879b5dcb4f31888e86ceb9a3b366

Exploring consumer opinions on vegetarian food by sentiment analysis method

Autori: Tran Thi Huong Thao Ho Trung Thanh

Zdroj: Ho Chi Minh City Open University Journal of Science-Economics and Business Administration, Vol 13, Iss 2, Pp 69-84 (2022)

Predmety: HB1-3840, 2. Zero hunger, lexicon-based approach, product review, sentiment analysis, vegetarian food, Economic theory. Demography, vietnamese market

Prístupová URL adresa: https://doaj.org/article/dd3ac8fde6bd404eaf06219fc3506394

SENTIMENT ANALYSIS FOR CONSUMER BEHAVIOR PREDICTION

Autori: Sivakumar R D, Assistant Professor, Department of Computer Science Brindha S, Former Assistant Professor of Business Administration

Predmety: Social media, Data Integration, Sentiment analysis, Marketing strategies, Digital marketing, Machine learning, Brand loyalty, Lexicon-based approach, Prediction, Product reviews, Big data analytics, Consumer behavior, 12. Responsible consumption

An Italian lexical resource for incivility detection in online discourses

Autori: Tontodimamma, Alice Fontanella, Lara Anzani, Stefano a ďalší

Zdroj: Quality & Quantity. 57:3019-3037

Predmety: 0508 media and communications, 05 social sciences, 0101 mathematics, 01 natural sciences, Uncivil speech detection · Lexicon-based approach · Sentiment analysis · Item response theory model · Raters' consistency

Popis súboru: application/pdf

Prístupová URL adresa: https://link.springer.com/article/10.1007/s11135-022-01494-7
https://doi.org/10.1007/s11135-022-01494-7
https://hdl.handle.net/11564/787491
https://hdl.handle.net/2318/1875580
https://link.springer.com/article/10.1007/s11135-022-01494-7#article-info
https://doi.org/10.1007/s11135-022-01494-7

A Multilingual Lexicon-based Approach for Sentiment Analysis in Social and Cultural Information System Data

Autori: Jardim, Sandra Mora, Carlos Santana, Tiago a ďalší

Prispievatelia: Jardim, Sandra Mora, Carlos Santana, Tiago a ďalší

Zdroj: 2021 16th Iberian Conference on Information Systems and Technologies (CISTI). :1-6

Predmety: lexicon-based approach, sentiment analysis, social media, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, automatic sentiment classification

Popis súboru: application/pdf

Prístupová URL adresa: https://ieeexplore.ieee.org/document/9476631/
https://hdl.handle.net/10400.26/37667

A Sentiment Analysis Model for Terrorist Attacks Reviews on Twitter

Autori: Ibrahim FADEL Cemil ÖZ

Zdroj: Volume: 24, Issue: 6 1294-1302
Sakarya University Journal of Science
Sakarya Üniversitesi Fen Bilimleri Enstitüsü Dergisi

Predmety: Computer Software, Yapay Zeka, Artificial Intelligence, Sentiment Analysis, Machine Learning, lexicon-based approach, Terrorist mining, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 16. Peace & justice, Bilgisayar Yazılımı

Popis súboru: application/pdf

Prístupová URL adresa: http://www.saujs.sakarya.edu.tr/en/download/article-file/1028640
https://www.saujs.sakarya.edu.tr/tr/download/article-file/1028640
https://dergipark.org.tr/tr/pub/saufenbilder/issue/57766/711612

Improving Sentiment Polarity Detection Through Target Identification

Autori: Mohammad Ehsan Basiri Moloud Abdar Arman Kabiri a ďalší

Zdroj: IEEE Transactions on Computational Social Systems. 7:113-128

Predmety: Index Terms— Lexicon-based approach, opinion mining, 0202 electrical engineering, electronic engineering, information engineering, sentiment analysis (SA), text mining, 02 engineering and technology, Persian language

Prístupová URL adresa: http://eprints.usq.edu.au/37425/
http://dro.deakin.edu.au/view/DU:30134234
https://dblp.uni-trier.de/db/journals/tcss/tcss7.html#BasiriAKNZAY20
https://ieeexplore.ieee.org/document/8911218/
https://eprints.usq.edu.au/37425/
https://jglobal.jst.go.jp/en/detail?JGLOBAL_ID=202002241315651641

Exploring Key Issues Affecting African Mobile eCommerce Applications Using Sentiment and Thematic Analysis

Autori: Tolulope Olagunju Oladapo Oyebode Rita Orji

Zdroj: IEEE Access, Vol 8, Pp 114475-114486 (2020)

Predmety: 03 medical and health sciences, eCommerce, machine learning, 0302 clinical medicine, lexicon-based approach, sentiment analysis, Africa, 0202 electrical engineering, electronic engineering, information engineering, Electrical engineering. Electronics. Nuclear engineering, 02 engineering and technology, mobile applications, TK1-9971

Prístupová URL adresa: https://ieeexplore.ieee.org/ielx7/6287639/8948470/09108261.pdf
https://doaj.org/article/70787962cb87471ba63a48bfdb886f3c
https://dblp.uni-trier.de/db/journals/access/access8.html#OlagunjuOO20
https://ieeexplore.ieee.org/document/9108261/
https://www.mendeley.com/catalogue/4b409388-9910-3bcb-93c6-21e4bcb92f6d/

Opinion mining for national security: techniques, domain applications, challenges and research opportunities

Autori: Noor Afiza Mat Razali Nur Atiqah Malizan Nor Asiakin Hasbullah a ďalší

Zdroj: Journal of Big Data, Vol 8, Iss 1, Pp 1-46 (2021)

Predmety: Opinion mining, Sentiment analysis, National security, Machine learning, Lexicon-based approach, Kansei approach, Computer engineering. Computer hardware, TK7885-7895, Information technology, T58.5-58.64, Electronic computers. Computer science, QA75.5-76.95

Popis súboru: electronic resource

Relation: https://doaj.org/toc/2196-1115

Prístupová URL adresa: https://doaj.org/article/ab4d4126be2f460dac41e4f55409f62a

'I Tried to Breastfeed but…': Exploring Factors Influencing Breastfeeding Behaviours Based on Tweets Using Machine Learning and Thematic Analysis

Autori: Oladapo Oyebode Richard Lomotey Rita Orji

Zdroj: IEEE Access, Vol 9, Pp 61074-61089 (2021)

Predmety: Breastfeeding, health informatics, lexicon-based approach, machine learning, sentiment analysis, social media, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

Popis súboru: electronic resource

Relation: https://ieeexplore.ieee.org/document/9402798/; https://doaj.org/toc/2169-3536

Prístupová URL adresa: https://doaj.org/article/c7ddabd0c450431582205972b09ab64a

The Sentiment of Latin Poetry. Annotation and Automatic Analysis of the Odes of Horace

Autori: Sprugnoli, Rachele Mambrini, Francesco Passarotti, Marco a ďalší

Prispievatelia: Sprugnoli, Rachele Mambrini, Francesco Passarotti, Marco a ďalší

Zdroj: IJCoL, Vol 9, Iss 1 (2023)

Predmety: epic narratives, the creation of LatinAffectus, plays and poems. Poems are particularly suitable for sentiment analysis because they tell us about emotions and passions. In this paper, we describe the creation of the first small gold standard of Latin made of poems written by Horace and manually annotated with emotion polarity, we test both a lexicon-based approach, During the recent years, historical or religious treatises, research in this field is still not much explored for texts written in Classical languages. Working on such languages means dealing with peculiar textual genres such as philosophical, but we also report about the results of a set of automatic classification experiments. In particular, Social Sciences, an always growing number of linguistic resources and automatic systems for sentiment analysis have been developed covering a wide range of languages. However, 02 engineering and technology, 01 natural sciences, which uses a Latin polarity lexicon called LatinAffectus, Latin, and a zero-shot transfer method. We provide details about the methodology adopted for the annotation of the gold standard, Computational linguistics. Natural language processing, 0202 electrical engineering, electronic engineering, information engineering, Sentiment Analysis, P98-98.5, the development of our experiments and we give details about the results and the limitations of the proposed approaches, 0105 earth and related environmental sciences

Popis súboru: application/pdf; text/html

Prístupová URL adresa: https://doaj.org/article/e88cb91fa9a945859d32a80711874aa9
https://hdl.handle.net/20.500.13089/h02k
https://doi.org/10.4000/ijcol.1125
https://journals.openedition.org/ijcol/1125

NBLex: emotion prediction in Kannada-English code-switch text using naïve bayes lexicon approach

Autori: Ramesh Chundi Vishwanath R. Hulipalled Jay Bharthish Simha

Predmety: Code-switch text, Emotion analysis, Emotion prediction, Lexicon based approach, One-vs-rest, Text analytics

Relation: https://zenodo.org/records/7694742; oai:zenodo.org:7694742

Dostupnosť: https://doi.org/10.11591/ijece.v13i2.pp2068-2077
https://zenodo.org/records/7694742

Evaluating Sentiment Classification to Specify Polarity by Lexicon-Based and Machine Learning Approaches for COVID-19 Twitter Data Sets

Autori: A. Sathya Dr. M.S Mythili

Zdroj: JOURNAL OF ADVANCED APPLIED SCIENTIFIC RESEARCH; Vol. 5 No. 4 (2023): JOURNAL OF ADVANCED APPLIED SCIENTIFIC RESEARCH-NCAC 2K23; 12-27 ; 2454-3225

Predmety: Sentiment Analysis, Machine Learning Algorithm, Lexicon Based Approach, Social Media

Popis súboru: application/pdf

Relation: http://www.joaasr.com/index.php/joaasr/article/view/678/204; http://www.joaasr.com/index.php/joaasr/article/view/678

Dostupnosť: http://www.joaasr.com/index.php/joaasr/article/view/678
https://doi.org/10.46947/joaasr542023678

Exploring the Limits of Lexicon-based Natural Language Processing Techniques for Measuring Engagement and Predicting MOOC’s Certification

Autori: Félix, Esther Hernandez, Nicolas Rebaï, Issam a ďalší

Prispievatelia: Félix, Esther Hernandez, Nicolas Rebaï, Issam a ďalší

Zdroj: Proceedings of the 14th International Conference on Computer Supported Education ; CSEDU 2022: 14th International Conference on Computer Supported Education ; https://nantes-universite.hal.science/hal-03667269 ; CSEDU 2022: 14th International Conference on Computer Supported Education, Apr 2022, Online Streaming, France. pp.95-104, ⟨10.5220/0011085300003182⟩ ; http://www.wikicfp.com/cfp/servlet/event.showcfp?eventid=146666

Predmety: MOOC, Forum Discussions, Engagement, Text Mining, Lexicon-based approach, Learning outcome prediction, [INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL]

Geografické téma: Online Streaming, France

Dostupnosť: https://nantes-universite.hal.science/hal-03667269
https://nantes-universite.hal.science/hal-03667269v1/document
https://nantes-universite.hal.science/hal-03667269v1/file/CSEDU.pdf
https://doi.org/10.5220/0011085300003182

Comparison of two annotation schemes to derive offensiveness scores in HurtLex

Autori: Alice Tontodimamma Stefano Anzani Valerio Basile a ďalší

Predmety: hate speech detection, lexicon-based approach, Item response Theory Model, Best-worst scaling, comparison annotation schemes

Prístupová URL adresa: https://hdl.handle.net/11564/795972

Examining post COVID-19 tourist concerns using sentiment analysis and topic modeling

Autori: Balasubramanian, S. Kaitheri, S. Nanath, K. a ďalší

Predmety: Tourism supply chain, Emotions, Lexicon-based approach

Popis súboru: application/pdf

Relation: https://repository.mdx.ac.uk/download/7de16b4bf0a663d95a68e05622fe63333d86e13b047d760fb10db31bf8ddc4db/276312/Balasubramanian2021_Chapter_ExaminingPostCOVID-19TouristCo%20%281%29.pdf; https://doi.org/10.1007/978-3-030-65785-7_54; Balasubramanian, S., Kaitheri, S., Nanath, K., Sreejith, S. and Paris, C. 2021. Examining post COVID-19 tourist concerns using sentiment analysis and topic modeling. Wörndl, W., Koo, C. and Stienmetz, J. (ed.) ENTER 2021 eTourism Conference. Virtual 19 - 21 Jan 2021 Springer. pp. 564-569 https://doi.org/10.1007/978-3-030-65785-7_54

Dostupnosť: https://repository.mdx.ac.uk/item/894q9

Emotion Classification and Crowd Source Sensing; A Lexicon Based Approach

Autori: Rashid Kamal Munam Ali Shah Carsten Maple a ďalší

Zdroj: IEEE Access, Vol 7, Pp 27124-27134 (2019)

Predmety: Big data, social networks, lexicon-based approach, Twitter, crowd-sourced sensing, 0202 electrical engineering, electronic engineering, information engineering, Electrical engineering. Electronics. Nuclear engineering, 02 engineering and technology, TK1-9971

Prístupová URL adresa: https://ieeexplore.ieee.org/ielx7/6287639/8600701/08620685.pdf
https://doaj.org/article/6483546f8e6749a7b459fd3550205a54
https://ieeexplore.ieee.org/abstract/document/8620685
https://ulster-staging.pure.elsevier.com/en/publications/emotion-classification-and-crowd-source-sensing-a-lexicon-based-a
https://dblp.uni-trier.de/db/journals/access/access7.html#KamalSMMWM19
https://pure.ulster.ac.uk/en/publications/emotion-classification-and-crowd-source-sensing-a-lexicon-based-a
http://hdl.handle.net/10044/1/105930