Optimal Feature Selection for Sentiment Analysis

Author:

Agarwal Basant,Mittal Namita

Publisher

Springer Berlin Heidelberg

Reference22 articles.

1. Pang, B., Lee, L.: Opinion mining and sentiment analysis. Foundations and Trends in Information Retrieval 2(1-2), 1–135 (2008)

2. Pang, B., Lee, L., Vaithyanathan, S.: Thumbs up? Sentiment classification using machine learning techniques. In: Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP), pp. 79–86 (2002)

3. Agarwal, B., Mittal, N.: Categorical Probability Proportion Difference (CPPD): A Feature Selection Method for Sentiment Classification. In: Proceedings of the 2nd Workshop on Sentiment Analysis where AI Meets Psychology (SAAIP 2012), COLING 2012, Mumbai, pp. 17–26 (2012)

4. Pang, B., Lee, L.: A sentimental education: sentiment analysis using subjectivity summarization based on minimum cuts. In: Proceedings of the Association for Computational Linguistics (ACL), pp. 271–278 (2004)

5. Mullen, T., Collier, N.: Sentiment analysis using support vector machines with diverse information sources. In: Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP), pp. 412–418 (2004)

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