OpinionMiner: A novel machine learning system for web opinion mining and extraction

Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining

Volumn , Issue , 2009, Pages 1195-1203

  Jin, Wei ^a   Ho, Hung Hay ^b   Srihari, Rohini K ^b  

^a North Dakota State University   (United States)

^b the State University of New York   (United States)

Author keywords

Lexicalized HMMs; Opinion mining; Sentiment analysis

Indexed keywords

AUTOMATIC-LEARNING; CUSTOMER REVIEW; DATA SETS; HANDS-ON EXPERIENCES; INFORMED DECISION; LEXICALIZED HMMS; LINGUISTIC FEATURES; MACHINE LEARNING SYSTEMS; MACHINE-LEARNING; MAIN COMPONENT; ONLINE PRODUCTS; OPINION MINING; POTENTIAL CUSTOMERS; RULE BASED; SENTIMENT ANALYSIS; STATISTICAL TECHNIQUES;

CUSTOMER SATISFACTION; MINING; ROBOT LEARNING;

SALES;

EID: 70350657117     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1557019.1557148     Document Type: Conference Paper

References (12)

1. Lee, S. Z., Tsujii, J., and Rim, H. C. 2000. Lexicalized Hidden Markov Models for Part-of-Speech Tagging. In Proceedings of the 18th International Conference on Computational Linguistics (COLING'00), 481-487.
2. Fu, G. and Luke, K. K. 2005. Chinese Named Entity Recognition using Lexicalized HMMs. ACM SIGKDD Explorations Newsletter 7,1 (2005), 19-25.
3. Turney, P. D. 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), 417-424.
4. Turney, P. D. and Littman, M. L. 2003. Measuring praise and criticism: Inference of semantic orientation from association. ACM Trans. On Information Systems, 21, 4 (2003), 315-346.
5. Dave, K., Lawrence, S., and Pennock, D. M. 2003. Mining the Peanut Gallery: Opinion Extraction and Semantic Classification of Product Reviews. In Proceedings of the 12th international conference on World Wide Web (WWW'03), 519-528.
6. Pang, B., Lee, L., and Vaithyanathan, S. 2002. Thumbs up? Sentiment classification using machine learning techniques. In Proceedings of 2002 Conference on Empirical Methods in Natural Language Processing (EMNLP'02), 79-86.
7. Pang, B. and Lee, L. 2004. A sentimental education: Sentiment analysis using subjectivity summarization based on minimum cuts. In Proceedings of the 42th Annual Meeting of the Association for Computational Linguistics (ACL'04), 271-278.
8. Das, S. and Chen, M. 2001. Yahoo! for Amazon: Extracting market sentiment from stock message boards. In Proceedings of the 8th Asia Pacific Finance Association Annual Conference (APFA'01).
9. Hu, M. and Liu, B. 2004. Mining and Summarizing Customer Reviews. In Proceedings of the 10th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'04), 168-177
10. Zhuang, L., Jing, F., and Zhu, X. 2006. Movie Review Mining and Summarization. In Proceedings of the International Conference on Information and Knowledge Management (CIKM'06), 43-50.
11. Popescu, A. and Etzioni, O. 2005. Extracting Product Features and Opinions from Reviews. In Proceeding of 2005 Conference on Empirical Methods in Natural Language Processing (EMNLP'05), 339-346.
12. Ding, X., Liu, B., and Yu, P. S. 2008. A Holistic Lexiconbased Approach to Opinion Mining. In Proceeding of the international conference on Web Search and Web Data Mining (WSDM'08), 231-239.