A new method of using contextual information to infer the semantic orientations of context dependent opinions

2009 International Conference on Artificial Intelligence and Computational Intelligence, AICI 2009

Volumn 4, Issue , 2009, Pages 274-278

  Wu, Chunxu ^a   Shen, Lingfeng ^a   Wang, Xuan ^a  

^a UNIVERSITY OF SCIENCE AND TECHNOLOGY OF CHINA   (China)

Author keywords

Context dependent opinion; Opinion mining; Semantic orientation; Semantic similarity

Indexed keywords

CONTEXT DEPENDENT; CONTEXTUAL INFORMATION; EXISTING METHOD; LINGUISTIC RULES; OPINION MINING; SEMANTIC ANALYSIS; SEMANTIC ORIENTATION; SEMANTIC SIMILARITY; SEMANTIC SIMILARITY MEASURES;

ARTIFICIAL INTELLIGENCE; INFORMATION USE; LINGUISTICS; MINING;

SEMANTICS;

EID: 77949293745     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/AICI.2009.406     Document Type: Conference Paper

References (10)

1. M.Hu, and B.Liu, "Mining and summarizing customer reviews", KDD'04, 2004, pp.156-163
2. X.W.Ding, B.Liu and PS. Yu, "A holistic lexicon-based approach to opinion mining", WSWD'08, ACM, 2008, pp. 231-240.
3. K. Dave, L. Steve and P. David, "Mining the peanut gallery: opinion extraction and semantic classification of product reviews", WWW '03, ACM, New York, 2003, pp.519-528.
4. D. Lee, OR. Jeong and S. Lee, "Opinion mining of customer feedback data on the web", ACM, New York, 2008, pp. 230-235.
5. B. Liu, M. Hu and J. Cheng, "Opinion observer: analyzing and comparing opinions on the web", WWW '05, ACM, New York, 2005, pp. 342-351.
6. P. 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, Annual Meeting of the ACL. Association for Computational Linguistics, Morristown, NJ, 2001, pp. 417-424.
7. J.Yang, D.Ji, and D.F.Cai, "Keyword extraction in multi-Document based on Joint Weight", Journal of Chinese Information Processing, 2008 Vol.22 No.6 PP.75-79
8. K.B. Khoo and M. Ishizuka, "Emerging topic tracking system", Springer, 2001, pp.125-130.
9. Y.H.Li, B.Zuhair.A, M. David, "An approach formeasuring semantic similarity between words using multiple information sources". IEEE Transactions on Knowledge and Data Engineering, 2003. pp. 871-882.
10. NLProcessor - Text Analysis Toolkit. 2000. http://www.infogistics.com/ textanalysis.html.