Aspect and Sentiment Extraction Based on Information-Theoretic Co-clustering

Author:

Fu Xianghua,Guo Yanyan,Guo Wubiao,Wang Zhiqiang

Publisher

Springer Berlin Heidelberg

Reference15 articles.

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)

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