Opinion mining using econometrics: A case study on reputation systems

ACL 2007 - Proceedings of the 45th Annual Meeting of the Association for Computational Linguistics

Volumn , Issue , 2007, Pages 416-423

  Ghose, Anindya ^a   Ipeirotis, Panagiotis G ^a   Sundararajan, Arun ^a  

^a NEW YORK UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CONTEXT-SENSITIVE; DOLLAR VALUE; ECONOMIC VALUES; ECONOMIC VARIABLES; LINGUISTIC RESOURCES; OPINION MINING; PRODUCT PRICE; REPUTATION SYSTEMS; RESEARCH TOPICS; SEMANTIC ORIENTATION; USER FEEDBACK;

COMPUTATIONAL LINGUISTICS; COSTS; SEMANTICS;

ECONOMIC ANALYSIS;

EID: 70349814334     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (27)

1. D.M. Blei, A.Y. Ng, and M.I. Jordan. 2003. Latent Dirichlet allocation. JMLR, 3:993-1022.
2. E. Breck, Y. Choi, and C. Cardie. 2007. Identifying expressions of opinion in context. In IJCAI-07, pages 2683-2688.
3. H. Cui, V. Mittal, and M. Datar. 2006. Comparative experiments on sentiment classification for online product reviews. In AAAI-2006.
4. S. Ranjan Das and M. Chen. 2006. Yahoo! for Amazon: Sentiment extraction from small talk on the web. Working Paper, Santa Clara University.
5. K. Dave, S. Lawrence, and D.M. Pennock. 2003. Mining the peanut gallery: Opinion extraction and semantic classification of product reviews. In WWW12, pages 519-528.
6. C. Dellarocas. 2003. The digitization of word-of-mouth: Promise and challenges of online reputation mechanisms. Management Science, 49(10):1407-1424.
7. A. Ghose, M.D. Smith, and R. Telang. 2006. Internet exchanges for used books: An empirical analysis for product cannibalization and social welfare. Information Systems Research, 17(1):3-19.
8. W.H. Greene. 2002. Econometric Analysis. 5th edition.
9. V. Hatzivassiloglou and K.R. McKeown. 1997. Predicting the semantic orientation of adjectives. In ACL'97, pages 174-181.
10. M. Hu and B. Liu. 2004. Mining and summarizing customer reviews. In KDD-2004, pages 168-177.
11. J. Kamps and M. Marx. 2002. Words with attitude. In Proceedings of the First International Conference on Global WordNet.
12. S.-M. Kim and E. Hovy. 2004. Determining the sentiment of opinions. In COLING 2004, pages 1367-1373.
13. A.C. König and E. Brill. 2006. Reducing the human overhead in text categorization. In KDD-2006, pages 598-603.
14. T. Lee. 2004. Use-centric mining of customer reviews. In WITS.
15. S. Lewitt and C. Syverson. 2005. Market distortions when agents are better informed: The value of information in real estate transactions. Working Paper, University of Chicago.
16. M.I. Melnik and J. Alm. 2002. Does a seller's reputation matter? Evidence from eBay auctions. Journal of Industrial Economics, 50(3):337-350, September.
17. K. Nigam and M. Hurst. 2004. Towards a robust metric of opinion. In AAAI Spring Symposium on Exploring Attitude and Affect in Text, pages 598-603.
18. B. Pang and L. Lee. 2002. Thumbs up? Sentiment classification using machine learning techniques. In EMNLP 2002.
19. B. Pang and L. Lee. 2004. A sentimental education: Sentiment analysis using subjectivity summarization based on minimum cuts. In ACL 2004, pages 271-278.
20. B. Pang and L. Lee. 2005. Seeing stars: Exploiting class relationships for sentiment categorization with respect to rating scales. In ACL 2005.
21. A.-M. Popescu and O. Etzioni. 2005. Extracting product features and opinions from reviews. In HLT/EMNLP 2005.
22. B. Snyder and R. Barzilay. 2007. Multiple aspect ranking using the good grief algorithm. In HLT-NAACL 2007.
23. J.R. Quinlan. 1992. C4.5: Programs for Machine Learning. Morgan Kaufmann Publishers, Inc.
24. P. Resnick, K. Kuwabara, R. Zeckhauser, and E. Friedman. 2000. Reputation systems. CACM, 43(12):45-48, December.
25. P.D. Turney and M.L. Littman. 2003. Measuring praise and criticism: Inference of semantic orientation from association. ACM Transactions on Information Systems, 21(4):315-346.
26. P.D. Turney. 2002. Thumbs up or thumbs down? Semantic orientation applied to unsupervised classification of reviews. In ACL 2002, pages 417-424.
27. T. Wilson, J. Wiebe, and R. Hwa. 2006. Recognizing strong and weak opinion clauses. Computational Intell., 22(2):73-99.