Aspect and sentiment extraction based on information-theoretic co-clustering

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 7368 LNCS, Issue PART 2, 2012, Pages 326-335

  Fu, Xianghua ^a   Guo, Yanyan ^a   Guo, Wubiao ^a   Wang, Zhiqiang ^a  

^a SHENZHEN UNIVERSITY   (China)

Author keywords

Co clustering; HowNet lexicon; Multi aspect sentiment analysis; online reviews

Indexed keywords

CLUSTERING RESULTS; CO-CLUSTERING; CO-OCCURRENCE; EXTRACTION METHOD; FEATURE WORDS; FEATURE-BASED; HOWNET LEXICON; SENTIMENT ANALYSIS;

CLUSTERING ALGORITHMS; COBALT; DATA MINING; INFORMATION THEORY; NEURAL NETWORKS;

COBALT COMPOUNDS;

EID: 84865137581     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-31362-2_37     Document Type: Conference Paper

References (15)

1. Khan, A., Baharudin, B., Khan, K.: Sentence based sentiment classification from online customer reviews. In: Proceedings of the 8th International Conference on Frontiers of Information Technology, pp. 1-6. ACM, Islamabad (2010)
2. Ku, L.-W., Huang, T.-H., Chen, H.-H.: Using morphological and syntactic structures for Chinese opinion analysis. In: Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing, vol. 3, pp. 1260-1269. Association for Computational Linguistics, Singapore (2009)
3. Ng, V., Dasgupta, S., Arifin, S.M.N.: Examining the role of linguistic knowledge sources in the automatic identification and classification of reviews. In: Proceedings of the COLING/ACL on Main Conference Poster Sessions, pp. 611-618. Association for Computational Linguistics, Sydney (2006)
4. Wang, X., et al.: Topic sentiment analysis in twitter: a graph-based hashtag sentiment classification approach. In: Proceedings of the 20th ACM International Conference on Information and Knowledge Management, pp. 1031-1040. ACM, Glasgow (2011)
5. Heerschop, B., et al.: Polarity analysis of texts using discourse structure. In: Proceedings of the 20th ACM International Conference on Information and Knowledge Management, pp. 1061-1070. ACM, Glasgow (2011)
6. Engonopoulos, N., et al.: ELS: a word-level method for entity-level sentiment analysis. In: Proceedings of the International Conference on Web Intelligence, Mining and Semantics, pp. 1-9. ACM, Sogndal (2011)
7. Du, W., Tan, S.: An iterative reinforcement approach for fine-grained opinion mining. In: Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics, pp. 486-493. Association for Computational Linguistics, Boulder (2009)
8. Ding, X., Liu, B., Zhang, L.: Entity discovery and assignment for opinion mining applications. In: Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 1125-1134. ACM, Paris (2009)
9. Su, Q., et al.: Hidden sentiment association in chinese web opinion mining. In: Proceeding of the 17th International Conference on World Wide Web, pp. 959-968. ACM, Beijing (2008)
10. Zhu, J., et al.: Multi-aspect opinion polling from textual reviews. In: Proceedings of the 18th ACM Conference on Information and Knowledge Management, pp. 1799-1802. ACM, Hong Kong (2009)
11. Wang, H., Lu, Y., Zhai, C.: Latent aspect rating analysis on review text data: a rating regression approach. In: Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 783-792. ACM, Washington, DC (2010)
12. Dhillon, I.S., Mallela, S., Modha, D.S.: Information-theoretic Co-clustering. In: Proceedings of the Ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 89-98. ACM, Washington, DC (2003)
13. Hatzivassiloglou, V., McKeown, K.R.: Predicting the semantic orientation of adjectives. In: Proceedings of the 35th Annual Meeting of the Association for Computational Linguistics and Eighth Conference of the European Chapter of the Association for Computational Linguistics, pp. 174-181. Association for Computational Linguistics, Madrid (1997)
14. Hu, M., Liu, B.: Mining and summarizing customer reviews. In: Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 168-177. ACM, Seattle (2004)
15. Fu, X., Liu, G., Guo, Y., Guo, W.: Multi-aspect Blog Sentiment Analysis Based on LDA Topic Model and Hownet Lexicon. In: Gong, Z., Luo, X., Chen, J., Lei, J., Wang, F.L. (eds.) WISM 2011, Part II. LNCS, vol. 6988, pp. 131-138. Springer, Heidelberg (2011)