Feature and Opinion Mining for Customer Review Summarization
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Publisher
Springer Berlin Heidelberg
Link
http://link.springer.com/content/pdf/10.1007/978-3-642-11164-8_35.pdf
Reference8 articles.
1. Liu, B., Hu, M., Cheng, J.: Opinion Observer - Analyzing and Comparing Opinions on the Web. In: Proceedings of the 14th International Conference on World Wide Web (WWW 2005), Japan, pp. 342–351 (2005)
2. Ding, X., Liu, B., Philip, S.Y.: A Holistic Lexicon-Based Approach to Opinion Mining. In: Proceedings of the 1st ACM International Conference on Web Search and Data Mining (WSDM 2008), California, USA, pp. 231–240 (2008)
3. Hu, M., Liu, B.: Mining and Summarizing Customer Reviews. In: Proceedings of ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2004), USA, pp. 168–177 (2004)
4. Pang, B., Lee, L., Vaithyanathan, S.: Thumbs up? Sentiment Classification Using Machine Learning Techniques. In: Proceedings of the 2002 Conference on Empirical Methods in Natural Language Processing (EMNLP 2002), USA, pp. 79–86 (2002)
5. Popescu, A.M., Etzioni, O.: Extracting Product Features and Opinions from Reviews. In: Proceedings of the 2005 Conference on Empirical Methods in Natural Language Processing (EMNLP 2005), Canada, pp. 339–346 (2005)
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