A faceted characterization of the opinion mining landscape

2014 6th International Conference on Communication Systems and Networks, COMSNETS 2014

Volumn , Issue , 2014, Pages

  Arora, Rajeev ^a   Srinivasa, Srinath ^a  

^a INTERNATIONAL INSTITUTE OF INFORMATION TECHNOLOGY   (India)

Author keywords

Opinion Mining; Sentiment Analysis; Survey

Indexed keywords

AUTOMATIC DETECTION; OPINION MINING; POLITICAL PARTIES; RESEARCH EFFORTS; RESEARCH INTERESTS; SENTIMENT ANALYSIS; USER GENERATED CONTENT (UGC); USER-GENERATED CONTENT;

COMMUNICATION SYSTEMS; NATURAL LANGUAGE PROCESSING SYSTEMS; SEMANTICS; SURVEYING; SURVEYS;

DATA MINING;

EID: 84896765541     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/COMSNETS.2014.6734936     Document Type: Conference Paper

References (30)

1. Anthony Aue and Michael Gamon. Customizing Sentiment Classifiers to New Domains: A Case Study.
2. Dmitriy Bespalov, Bing Bai, Yanjun Qi, and Ali Shokoufandeh. Sentiment classification based on supervised latent n-gram analysis. In Proceedings of the 20th ACM international conference on Information and knowledge management, CIKM '11, pages 375-382, New York, NY, USA, 2011. ACM.
3. David M. Blei, Andrew Y. Ng, and Michael I. Jordan. Latent dirichlet allocation. .I. Mach. Learn. Res., 3:993-1022, march 2003.
4. John Blitzer, Mark Dredze, and Fernando Pereira. Biographies, bollywood, boom boxes and blenders: Domain adaptation for sentiment classification. In In ACL, pages 187-205, 2007.
5. Jordan Boyd-Graber and et al. A topic model for word sense disambiguation, 2007.
6. Scott Deerwester, Susan T. Dumais, George W. Furnas, Thomas K. Landauer, and Richard Harshman. Indexing by latent semantic analysis. .Iournal of the American Society for Information Science, 41:391-407, 1990.
7. Michael Gamon. Sentiment classification on customer feedback data: noisy data, large feature vectors, and the role of linguistic analysis. In In COLING, pages 841-847, 2005.
8. Roberto Gonzalez-Ibanez, Smaranda Muresan, and Nina Wacholder. Identifying sarcasm in twitter: a closer look. In Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies: short papers - Volume 2, HLT ' 11, pages 581-586, Stroudsburg, PA, USA, 2011. Association for Computational Linguistics.
9. Vasileios Hatzivassiloglou and Kathleen R. McKeown. Predicting the semantic orientation of adjectives. In Proceedings of the eighth conference on European chapter of the Association for Computational Linguistics, EACL '97, pages 174-181, Stroudsburg, PA, USA, 1997. Association for Computational Linguistics.
10. Thomas Hofmann. Probabilistic latent semantic indexing. In Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in inFmnation retrieval, SIGIR '99, pages 50-57, New York, NY, USA, 1999. ACM.
11. Minqing Hu and Bing Liu. Mining and summarizing customer reviews. In Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining, KDD '04, pages 168-177, New York, NY, USA, 2004. ACM.
12. Minqing Hu and Bing Liu. Mining opinion features in customer reviews. In Proceedings of the 19th national conference on Artifical intelligence, AAAI'04, pages 755-760. AAAI Press, 2004.
13. Bing Liu. Sentiment analysis: A multi-faceted problem. IEEE Intelligent Systems, 25(3):76-80, 2010.
14. Bing Liu. Sentiment analysis and subjectivity. In Handbook of Natural Language Processing, Second Edition. Taylor and Francis Group, Boca, 2010.
15. Qiaozhu Mei, Xu Ling, Matthew Wondra, Hang Su, and ChengXiang Zhai. Topic sentiment mixture: modeling facets and opinions in weblogs. In Proceedings of the 16th international conFerence on World Wide Web, WWW '07, pages 171-180, New York, NY, USA, 2007. ACM.
16. Sinno Jialin Pan, Xiaochuan Ni, Jian-Tao Sun, Qiang Yang, and Zheng Chen. Cross-domain sentiment classification via spectral feature alignment. In Proceedings o/the 19th international conference on World wide web, WWW '10, pages 751-760, New York, NY, USA, 2010. ACM.
17. Bo Pang and Lillian Lee. Opinion mining and sentiment analysis. Found. Trends Inf. Retr, 2(1-2):1-135, January 2008.
18. Bo Pang, Lillian Lee, and Shivakumar Vaithyanathan. Thumbs up: sentiment classification using machine learning techniques. In Proceedings of the ACL-02 conference on Empirical methods in natural language processing - Volume 10, EMNLP '02, pages 79-86, Stroudsburg, PA, USA, 2002. Association for Computational Linguistics.
19. J. W. Pennebaker, C. K. Chung, M. Ireland, A. Gonzales, and R. J. Booth. The Development and Psychometric Properties of LIWC2007. This article is published by LIWC Inc, Austin, Texas 78703 USA in conjunction with the LIWC2007 software program.
20. Ana-Maria Popescu and Oren Etzioni. Extracting product features and opinions from reviews. In Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing, HLT '05, pages 339-346, Stroudsburg, PA, USA, 2005. Association for Computational Linguistics.
21. Guang Qiu, Bing Liu, Jiajun Bu, and Chun Chen. Expanding domain sentiment lexicon through double propagation. In Proceedings of the 21st international jont conference on Artifical intelligence, IJCAI' 09, pages 1199-1204, San Francisco, CA, USA, 2009. Morgan Kaufmann Publishers Inc.
22. Lizhen Qu, Georgiana Ifrim, and Gerhard Weikum. The bag-of-opinions method for review rating prediction from sparse text patterns. In Proceedings of the 23rd International Conference on Computational Linguistics, COLING ' 10, pages 913-921, Stroudsburg, PA, USA, 2010. Association for Computational Linguistics.
23. A R Rachakonda. A cognitive model for mining latent semantics in unstructured text. In Proceedings of the 38th International Conference of Very large DataBases, V LDB 2012, IIITB, Bangalore, 2012.
24. Antonio Reyes and Paolo Rosso. Mining subjective knowledge from customer reviews: a specific case of irony detection. In Proceedings of the 2nd Workshop on Computational Approaches to Subjectivity and Sentiment Analysis, WASSA '11, pages 118-124, Stroudsburg, PA, USA, 2011. Association for Computational Linguistics.
25. G. Salton, A. Wong, and C. S. Yang. A vector space model for automatic indexing. Commun. ACM, 18(11):613-620, nov 1975.
26. Veselin Stoyanov and Claire Cardie. Partially supervised coreference resolution for opinion summarization through structured rule learning. In Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP), pages 336-344, Sydney, Australia, 2006. ACL.
27. Peter D. Turney. Thumbs up or thumbs down?: semantic orientation applied to unsupervised classification of reviews. In Proceedings of the 40th Annual Meeting on Association for Computational Linguistics, ACL '02, pages 417-424, Stroudsburg, PA, USA, 2002. Association for Computational Linguistics.
28. Ro Valitutti. Wordnet-affect: an affective extension of wordnet. In In Proceedings of the 4th International Conference on Language Resources and Evaluation, pages 1083-1086, 2004.
29. Rui Xia and Chengqing Zong. A pos-based ensemble model for crossdomain sentiment classification. In IJCNLP, pages 614-622, 2011.
30. Hong Yu and Vasileios Hatzivassiloglou. Towards answering opinion questions: separating facts from opinions and identifying the polarity of opinion sentences. In Proceedings of the 2003 conference on Empirical methods in natural language processing, EMNLP '03, pages 129-136, Stroudsburg, PA, USA, 2003. Association for Computational Linguistics.