SAMAR: Subjectivity and sentiment analysis for Arabic social media

Computer Speech and Language

Volumn 28, Issue 1, 2014, Pages 20-37

  Abdul Mageed, Muhammad ^a,b   Diab, Mona ^c   Kübler, Sandra ^a  

^a INDIANA UNIVERSITY   (United States)

^b School of Library and Information Science   (United States)

^c George Washington University   (United States)

Author keywords

Arabic; Morphologically rich language; Social media data; Subjectivity and sentiment analysis

Indexed keywords

ARABIC; ARABIC LANGUAGES; ENGLISH LANGUAGES; LEXICAL INFORMATION; MORPHOLOGICALLY RICH LANGUAGE; PART OF SPEECH TAGSETS; SENTIMENT ANALYSIS; SOCIAL MEDIA DATUM;

HUMAN COMPUTER INTERACTION; SOFTWARE ENGINEERING;

DATA MINING;

EID: 84885423302     PISSN: 08852308     EISSN: 10958363     Source Type: Journal    
DOI: 10.1016/j.csl.2013.03.001     Document Type: Article

References (48)

1. A. Abbasi, and H. Chen Applying authorship analysis to extremist-group web forum messages IEEE Intelligent Systems 20 5 2005 67 75 (Pubitemid 41527272)
2. A. Abbasi, H. Chen, and A. Salem Sentiment analysis in multiple languages: feature selection for opinion classification in web forums ACM Transactions on Information Systems 26 2008 1 34
3. M. Abdul-Mageed, and M. Diab AWATIF: a multi-genre corpus for modern standard Arabic subjectivity and sentiment analysis Proceedings of LREC Istanbul, Turkey 2012
4. M. Abdul-Mageed, and M. Diab Toward building a large-scale Arabic sentiment lexicon Proceedings of the 6th International Global WordNet Conference Matsue, Japan 2012
5. M. Abdul-Mageed, H. Albogmi, A. Gerrio, E. Hamed, and O. Aldibasi Tweeting in Arabic: what how and whither Presented at the 12th Annual Conference of the Association of Internet Researchers (Internet Research 12.0 Performance and Participation), Seattle, WA 2011
6. M. Abdul-Mageed, M. Diab, and M. Korayem Subjectivity and sentiment analysis of modern standard Arabic Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies Portland, OR 2011 587 591
7. M. Abdul-Mageed, M. Korayem, and A. YoussefAgha "Yes we can?": subjectivity annotation and tagging for the health domain Proceedings of RANLP2011 Hissar, Bulgaria 2011
8. A. Banfield Unspeakable Sentences: Narration and Representation in the Language of Fiction 1982 Routledge Boston
9. M. Bansal, C. Cardie, and L. Lee The power of negative thinking: exploiting label disagreement in the min-cut classification framework Coling 2008: Companion volume: Posters Manchester, UK 2008 15 18
10. P. Brown, and S. Levinson Politeness: Some Universals in Language Usage 1987 Cambridge University Press Cambridge, UK
11. R. Bruce, and J. Wiebe Recognizing subjectivity. A case study of manual tagging Natural Language Engineering 5 2 1999 187 205
12. Buckwalter, T., 2002. Buckwalter Arabic Morphological Analyzer Version 2.0. Linguistic Data Consortium, University of Pennsylvania. LDC Catalog No.: LDC2004L02, Tech. Rep., ISBN 1-58563-324-0, 2004.
13. K. Dave, S. Lawrence, and D. Pennock Mining the peanut gallery: opinion extraction and semantic classification of product reviews Proceedings of the 12th International Conference on World Wide Web, ACM Budapest, Hungary 2003 519 528
14. D. Davidov, O. Tsur, and A. Rappoport Enhanced sentiment learning using twitter hashtags and smileys Coling 2010: Posters Beijing, China 2010 241 249
15. M. Diab, D. Jurafsky, and K. Hacioglu Automatic processing of modern standard Arabic text A. Soudi, A. van den Bosch, G. Neumann, Arabic Computational Morphology 2007 Springer Dordrecht 159 179
16. M. Diab, N. Habash, O. Rambow, M. Altantawy, and Y. Benajiba COLABA: Arabic dialect annotation and processing LREC Workshop on Semitic Language Processing Valetta, Malta 2010 66 74
17. M. Diab Towards an optimal POS tag set for modern standard Arabic processing Proceedings of Recent Advances in Natural Language Processing (RANLP) Borovets, Bulgaria 2007
18. M. Diab Improved Arabic base phrase chunking with a new enriched POS tag set Proceedings of the 2007 Workshop on Computational Approaches to Semitic Languages: Common Issues and Resources Prague, Czech Republic 2007 89 96
19. M. Diab Second generation AMIRA tools for Arabic processing: fast and robust tokenization POS tagging and base phrase chunking Proceedings of the Second International Conference on Arabic Language Resources and Tools Cairo, Egypt 2009 285 288
20. N. Habash, O. Rambow, and R. Roth MADA + TOKAN: a toolkit for Arabic tokenization diacritization morphological disambiguation, POS tagging, stemming and lemmatization Proceedings of the Second International Conference on Arabic Language Resources and Tools Cairo, Egypt 2009 102 109
21. S. Herring Bringing familiar baggage to the new frontier: gender differences in computer-mediated communication J. Selzer, Conversations 1996 Allyn & Bacon Boston 1069 1082
22. M. Hu, and B. Liu Mining and summarizing customer reviews Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining Seattle, WA 2004 168 177 (Pubitemid 40114926)
23. N. Jakob, and I. Gurevych Extracting opinion targets in a single and cross-domain setting with conditional random fields Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing Cambridge, MA 2010 1035 1045
24. Joachims, T., 2008. SVMLight: Support Vector Machine. http://svmlight.joachims.org/, Cornell University.
25. H. Kanayama, T. Nasukawa, and H. Watanabe Deeper sentiment analysis using machine translation technology Proceedings of Coling 2004 Geneva, Switzerland 2004 494 500
26. J. Kessler, and N. Nicolov Targeting sentiment expressions through supervised ranking of linguistic configurations Proceedings of the Third International AAAI Conference on Weblogs and Social Media San Jose, CA 2009
27. S.-M. Kim, and E. Hovy Determining the sentiment of opinions Proceedings of the 20th International Conference on Computational Linguistics Geneva, Switzerland 2004 1367 1373
28. B. Liu Sentiment Analysis and Opinion Mining Synthesis Lectures on Human Language Technologies 2012 Morgan & Claypool Publishers
29. B. Lu, C. Tan, C. Cardie, and B.K. Tsou Joint bilingual sentiment classification with unlabeled parallel corpora Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies Portland, OR 2011 320 330
30. M. Maamouri, A. Bies, T. Buckwalter, and W. Mekki The Penn Arabic Treebank: building a large-scale annotated Arabic corpus NEMLAR Conference on Arabic Language Resources and Tools Cairo, Egypt 2004 102 109
31. R. Mihalcea, C. Banea, and J. Wiebe Learning multilingual subjective language via cross-lingual projections Proceedings of the 45th Annual Meeting of the Association of Computational Linguistics Prague, Czech Republic 2007 976 983
32. S. Morinaga, K. Yamanishi, K. Tateishi, and T. Fukushima Mining product reputations on the web Proceedings of the Eighth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, ACM 2002 341 349
33. B. Pang, and L. Lee A sentimental education: sentimental analysis using subjectivity summarization based on minimum cuts Proceedings of the 42nd Annual Meeting of the Association for Computational Linguistics 27 2004 1 278
34. S. Somasundaran, G. Namata, L. Getoor, and J. Wiebe Opinion graphs for polarity and discourse classification Proceedings of the 2009 Workshop on Graph-based Methods for Natural Language Processing (TextGraphs-4) Suntec, Singapore 2009 66 74
35. M. Speriosu, N. Sudan, S. Upadhyay, and J. Baldridge Twitter polarity classification with label propagation over lexical links and the follower graph Proceedings of the First Workshop on Unsupervised Learning in NLP Edinburgh, Scotland 2011 53 63
36. J. Steinberger, P. Lenkova, M. Kabadjov, R. Steinberger, and E. van der Goot Multilingual entity-centered sentiment analysis evaluated by parallel corpora Proceedings of the International Conference Recent Advances in Natural Language Processing 2011 Hissar, Bulgaria 2011 770 775
37. J. Steinberger, M. Ebrahim, M. Ehrmann, A. Hurriyetoglu, M. Kabadjov, P. Lenkova, R. Steinberger, H. Tanev, S. Vázquez, and V. Zavarella Creating sentiment dictionaries via triangulation Decision Support Systems 53 2012 689 694
38. M. Thomas, B. Pang, and L. Lee Get out the vote: determining support or opposition from congressional floor-debate transcripts Proceedings of the 2006 Conference on Empirical Methods in Natural Language Processing Sydney, Australia 2006 327 335
39. R. Tsarfaty, D. Seddah, Y. Goldberg, S. Kübler, Y. Versley, M. Candito, J. Foster, I. Rehbein, and L. Tounsi Statistical Parsing of Morphologically Rich Languages (SPMRL) what, how and whither Proceedings of the NAACL HLT 2010 First Workshop on Statistical Parsing of Morphologically-Rich Languages Los Angeles, CA 2010 1 12
40. P. Turney Thumbs up or thumbs down? Semantic orientation applied to unsupervised classification of reviews Proceedings of 40th Annual Meeting of the Association for Computational Linguistics Philadelphia, PA, USA 2002 417 424
41. O. Vechtomova Facet-based opinion retrieval from blogs Information Processing and Management 46 1 2010 71 88
42. X. Wan Using bilingual knowledge and ensemble techniques for unsupervised Chinese sentiment analysis Proceedings of the 2008 Conference on Empirical Methods in Natural Language Processing Honolulu, Hawaii 2008 553 561
43. J. Wiebe, R. Bruce, and T. O'Hara Development and use of a gold standard data set for subjectivity classifications Proceedings of the 37th Annual Meeting of the Association for Computational Linguistics (ACL-99), University of Maryland 1999 246 253
44. J. Wiebe, T. Wilson, R. Bruce, M. Bell, and M. Martin Learning subjective language Computational Linguistics 30 2004 227 308
45. J. Wiebe Learning subjective adjectives from corpora Proc.17th National Conference on Artificial Intelligence (AAAI-2000) Austin, TX 2000 735 741
46. J. Yao, G. Wu, J. Liu, and Y. Zheng Using bilingual lexicon to judge sentiment orientation of chinese words The Sixth IEEE International Conference on Computer and Information Technology, 2006. CIT'06 2006 38
47. J. Yi, T. Nasukawa, R. Bunescu, and W. Niblack Sentiment analyzer: extracting sentiments about a given topic using natural language processing techniques Proceedings of the 3rd IEEE International Conference on Data Mining Melbourne, FL 2003 427 434
48. H. Yu, and V. Hatzivassiloglou Towards answering opinion questions: separating facts from opinions and identifying the polarity of opinion sentences Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP) Sapporo, Japan 2003 129 136