Building an Arabic Sentiment Lexicon Using Semi-supervised Learning

Journal of King Saud University - Computer and Information Sciences

Volumn 26, Issue 4, 2014, Pages 417-424

  Mahyoub, Fawaz H H ^a,b   Siddiqui, Muazzam A ^a   Dahab, Mohamed Y ^a  

^a KING ABDULAZIZ UNIVERSITY   (Saudi Arabia)

^b TAIZ UNIVERSITY   (Yemen)

Author keywords

Arabic natural language processing; Semi supervised learning; Sentiment analysis; Sentiment lexicon; Text mining

Indexed keywords

EID: 85006184517     PISSN: 13191578     EISSN: 22131248     Source Type: Journal    
DOI: 10.1016/j.jksuci.2014.06.003     Document Type: Article

References (28)

1. Alaa El-Halees, 2011. Arabic opinion mining using combined classification approach, the International Arab Conference on Information Technology, pp. 10-13.
2. Andrea Esuli, Fabrizio Sebastiani, 2005. Determining the semantic orientation of terms through gloss analysis, Proceedings of CIKM-05, 14th ACM International Conference on Information and Knowledge Management, pp. 617-624.
3. Andrea Esuli, Fabrizio Sebastiani, 2006. Determining term subjectivity and term orientation for opinion mining, Proceedings of EACL-06, 11th Conference of the European Chapter of the Association for Computational Linguistics.
4. Andrea Esuli, Fabrizio Sebastiani, 2006. SentiWordNet: a publicly available resource for opinion mining, Proceedings of the 5th Conference on Language Resources and Evaluation (LREC'06), pp. 417-422.
5. Christiane Fellbaum et al., 2006. Introducing the Arabic WordNet Project, Proceedings of the 3rd Global Wordnet Conference.
6. Fellbaum Christiane Wordnet, an Electronic Lexical Database 1998, MIT Press, Cambridge, MA.
7. Jaap Kamps, Maarten Marx, Robert J. Mokken, Maarten de Rijke, 2004. Using Wordnet to measure semantic orientation of adjectives, Proceedings of LREC-04, 4th International Conference on Language Resources and Evaluation, vol. 4, pp. 1115-1118.
8. John W. Ratcliff, David Metzener, 1988. Pattern matching: the gestalt approach, Dobb's J., p. 46.
9. Muhammad Abdul-Mageed, Mona Diab, 2012. Toward building a large-scale Arabic sentiment lexicon, Proceedings of the 6th International Global WordNet Conference.
10. Muhammad Abdul-Mageed, Mohammed Korayem, 2010. Automatic identification of subjectivity in morphologically rich languages: the case of Arabic, Proceedings of the 1st Workshop on Computational Approaches to Subjectivity and Sentiment Analysis (WASSA), pp. 2-6.
11. Muhammad Abdul-Mageed, Mohammed Korayem, Ahmed Youssef Agha, 2011. "Yes we can?": subjectivity annotation and tagging for the health domain, Proceedings of the International Conference Recent Advances in Natural Language Processing RANLP, Hissar, Bulgaria.
12. Mohamed Elarnaoty, Samir Abdel Rahman, Aly Fahmy, 2012. A machine learning approach for opinion holder extraction Arabic language, in CoRR.
13. Mohamed Elhawary, Mohamed Elfeky, 2010. Mining Arabic business reviews, IEEE International Conference on Data Mining Workshops, pp. 1108-1113.
14. Mohamed Maamouri, Ann Bies, Tim Buckwalter, Wigdan Mekki, 2004. The Penn Arabic Treebank: building a large-scale annotated arabic corpus, NEMLAR Conference on Arabic Language Resources and Tools, pp. 102-109.
15. Mohamed Mahdi Boudabous, Nouha Chaâben Kammoun, Nacef Khedher, Lamia Hadrich Belguith, Fatiha Sadat, 2013. Arabic WordNet semantic relations enrichment through morpho-lexical patterns, in Communications, Signal Processing, and their Applications (ICCSPA), 2013 1st International Conference, Sharjah, pp. 1-6.
16. Namrata Godbole, Manjunath Srinivasaiah, Steven Skiena, 2007. Large-scale sentiment analysis for news and blogs, Proceedings of the International Conference on Weblogs and Social Media ICWSM.
17. Noura Farra, Elie Challita, Rawad Abou Assi, Hazem Hajj, 2010. Sentence-level and Document-level Sentiment Mining for Arabic Texts, ICDM Workshops, pp. 1114-1119.
18. Vasileios Hatzivassiloglou, Kathy McKeown, 1997. Predicting the semantic orientation of adjectives, Proceedings of the 8th conference on European chapter of the Association for Computational Linguistics, pp. 174-181.
19. Samhaa R. El-Beltagym, Ahmed Ali, 2013. Open issues in the sentiment analysis of Arabic social media: a case study, Proceedings of 9th International Conference on Innovations in Information Technology (IIT), pp. 215-220.
20. Soo-Min Kim, Eduard Hovy, 2004. Determining the sentiment of opinions, Proceedings of COLING-04, 20th International Conference on Computational Linguistics, pp. 1367-1373.
21. Pang Bo., Lee Lillian. Opinion mining and sentiment analysis. Found. Trends Inf. Retr. 2008, 2(1-2):1-135.
22. Peter D. Turney, Michael L. Littman, 2002. Unsupervised learning of semantic orientation from a hundred-billion-word corpus, Technical Report EGB-1094, National Research Council Canada.
23. Rushdi-Saleh Mohammed, Martín-Valdivia Maria Teresa, Ureña López Luis Alfonso, Perea-Ortega José M. OCA: opinion corpus for Arabic. J. Am. Soc. Inform. Sci. Technol. 2011, 62(10):2045-2054.
24. Salton G., Wong A., Yang C.S. A vector space model for automatic indexing. Commun. ACM 1975, 18(11):613-620.
25. Thelwall Mike, Buckley Kevan, Paltoglou Georgios, Cai Di Sentiment strength detection in short informal text. J. Am. Soc. Inf. Sci. Technol. 2010, 61(12).
26. Theresa Wilson, Janyce Wiebe, Paul Hoffmann, 2005. Recognizing contextual polarity in phrase-level sentiment analysis, Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing, pp. 347-354.
27. Valitutti Alessandro, Strapparava Carlo, Stock Oliviero Developing affective lexical resources. Psychology 2004, 2(1):61-83.
28. WordNet 3.0 database statistics. [Online]. https://wordnet.princeton.edu/wordnet/man/wnstats.7WN.html#toc.