SANA: A large scale multi-genre, multi-dialect lexicon for Arabic subjectivity and sentiment analysis

Proceedings of the 9th International Conference on Language Resources and Evaluation, LREC 2014

Volumn , Issue , 2014, Pages 1162-1169

  Abdul Mageed, Muhammad ^a   Diab, Mona ^b  

^a INDIANA UNIVERSITY   (United States)

^b The George Washington University   (United States)

Author keywords

Arabic dialects; Arabic lexical resource; Sentiment analysis

Indexed keywords

ALUMINUM; DATA MINING; NATURAL LANGUAGE PROCESSING SYSTEMS; SEMANTICS;

ARABIC DIALECTS; ARABIC LANGUAGES; ENGLISH LANGUAGES; LEXICAL RESOURCES; NATURAL LANGUAGES; SEMANTIC ORIENTATION; SENTIMENT ANALYSIS; UNDER-RESOURCED;

COMPUTATIONAL LINGUISTICS;

EID: 84997495049     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (31)

1. Abbasi, A., Chen, H., and Salem, A. (2008). Sentiment analysis in multiple languages: Feature selection for opinion classification in web forums. ACM Trans. Inf. Syst., 26:1-34.
2. Abdul-Mageed, M. and Diab, M. (2011). Subjectivity and sentiment annotation of modern standard Arabic newswire. In Proceedings of the 5th Linguistic Annotation Workshop, pages 110-118, Portland, Oregon, USA, June. Association for Computational Linguistics.
3. Abdul-Mageed, M. and Diab, M. (2012a). AWATIF: A multi-genre corpus for modern standard Arabic subjectivity and sentiment analysis. In Proceedings of LREC, Volume 12.
4. Abdul-Mageed, M. and Diab, M. (2012b). Toward building a large-scale Arabic sentiment lexicon. In Proceedings of the 6th International Global WordNet Conference, Matsue, Japan, January.
5. Abdul-Mageed, M., Diab, M., and Korayem, M. (2011a). Subjectivity and sentiment analysis of modern standard Arabic. In Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, pages 587-591, Portland, Oregon, USA, June. Association for Computational Linguistics.
6. Abdul-Mageed, M., Korayem, M., and YoussefAgha, A. (2011b). "yes we can?": Subjectivity annotation and tagging for the health domain. In Proceedings of RANLP2011.
7. Abdul-Mageed, M., Kübler, S., and Diab, M. (2012). Samar: a system for subjectivity and sentiment analysis of Arabic social media. In Proceedings of the 3rd Workshop in Computational Approaches to Subjectivity and Sentiment Analysis, WASSA '12, pages 19-28, Stroudsburg, PA, USA. Association for Computational Linguistics.
8. Abdul-Mageed, M., Diab, M., and Kbler, S. (2014). Samar: Subjectivity and sentiment analysis for Arabic social media. Computer Speech Language, 28(1):20-37.
9. Baccianella, S., Esuli, A., and Sebastiani, F. (2010). Sentiwordnet 3.0: An enhanced lexical resource for sentiment analysis and opinion mining. In Seventh conference on International Language Resources and Evaluation, Malta. Retrieved May, Volume 25, page 2010.
10. Buckwalter, T. (2002). Arabic morphological analyzer version 2.0. Linguistic Data Consortium, 2004.
11. Christopherson, K.M. (2007). The positive and negative implications of anonymity in internet social interactions:on the internet, nobody knows youre a dog. Computers in Human Behavior, 23(6):3038-3056.
12. Church, K. and Hanks, P. (1989). Word association norms, mutual information and lexicography. In Proceedings of the 27th Annual Conference of the ACL, pages 76-83. Association for Computational Linguistics.
13. Dave, K., Lawrence, S., and Pennock, D. (2003). Mining the peanut gallery: Opinion extraction and semantic classification of product reviews. In Proceedings of the 12th international conference on World Wide Web, pages 519-528. ACM.
14. Diab, M., Al-Badrashiny, M., Aminian, M., Attia, M., Dasigi, P., Elfardy, H., Eskander, R., Habash, N., Hawwari, A., Salloum, W., and Yusef, M. (2014). A large scale three-way egyptian Arabic dictionary.
15. Esuli, A. and Sebastiani, F. (2005). Determining the semantic orientation of terms through gloss classification. In Proceedings of the 14th ACM international conference on Information and knowledge management, pages 617-624. ACM.
16. Fellbaum, C. (1998). WordNet: An electronic lexical database. The MIT press.
17. Graff, D., Maamouri, M., Bouziri, B., Krouna, S., Kulick, S., and Buckwalter, T. (2009). Standard Arabic Morphological Analyzer (SAMA) Version 3.1. Linguistic Data Consortium LDC2009E73.
18. Hatzivassiloglou, V. and McKeown, K. (1997). Predicting the semantic orientation of adjectives. In ACL-EACL, pages 174-181.
19. Heise, D.R. (2007). Expressive order: Confirming sentiments in social actions. Springer.
20. Herring, S.C. (2007). A faceted classification scheme for computer-mediated discourse. Language@ internet, 4(1):1-37.
21. Kamps, J., Marx, M., Mokken, R., and De Rijke, M. (2004). Using wordnet to measure semantic orientations of adjectives.
22. Kim, S. and Hovy, E. (2004). Determining the sentiment of opinions. In Proceedings of the 20th International Conference on Computational Linguistics, pages 1367-1373.
23. Landis, J. and Koch, G. (1977). The measurement of observer agreement for categorical data. Biometrics, 33(1):159.
24. Maamouri, M., Bies, A., Buckwalter, T., and Mekki, W. (2004). The penn Arabic treebank: Building a largescale annotated Arabic corpus. In NEMLAR Conference on Arabic Language Resources and Tools, pages 102-109.
25. Maamouri, M., Graff, D., Bouziri, B., Krouna, S., and Kulick, S. (2010). Ldc standard Arabic morphological analyzer (sama) v. 3.1. LDC Catalog No. LDC2010L01. ISBN, pages 1-58563.
26. Miller, G. (1995). Wordnet: a lexical database for English. Communications of the ACM, 38(11):39-41.
27. Mohammad, S.M. (2012). # emotional tweets. In Proceedings of the First Joint Conference on Lexical and Computational Semantics-Volume 1: Proceedings of the main conference and the shared task, and Volume 2: Proceedings of the Sixth International Workshop on Semantic Evaluation, pages 246-255. Association for Computational Linguistics.
28. Mullen, T. and Collier, N. (2004). Sentiment analysis using support vector machines with diverse information sources. In Proceedings of the Empirical Methods in Natural Language Processing (EMNLP) Conference, pages 412-418, Barcelona, Spain.
29. Stone, P.J., and Dunphy, D.C., and Smith, M.S. (1966). The general inquirer: A computer approach to content analysis.
30. Turney, P.D. and Littman, M.L. (2003). Measuring praise and criticism: Inference of semantic orientation from association. ACM Transactions on Information Systems (TOIS), 21(4):315-346.
31. Turney, P. (2002). Thumbs up or thumbs down? semantic orientation applied to unsupervised classification of reviews. In Proceedings of the 40th Annual Meeting of the Association for Computational Linguistics (ACL'02).