Identifying helpful reviews based on customer’s mentions about experiences

Author:

Min Hye-Jin,Park Jong C.

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference32 articles.

1. Bird, S., & Loper, E. (2004). NLTK: The natural language toolkit, In Proceedings of the ACL demonstration session, Barcelona, Association for Computational Linguistics, July. (pp. 214–217).

2. Blitzer, J., Dredze, M., & Pereira, F. (2007). Biographies, bollywood, boom-boxes and blenders: Domain adaptation for sentiment classification. In Proceedings of annual meetings of association of computational linguistics (ACL).

3. Chang, C.-C., & Lin, C.-J. (2001). LIBSVM: a library for support vector machines. .

4. The effect of word of mouth on sales: Online book reviews;Chevalier;Journal of Marketing Research,2006

5. Dave, K., Lawrence, S., & Pennock, D.M. (2003). Mining the peanut gallery: Opinion extraction and semantic classification of product reviews, In Proceedings of WWW03, (pp. 519–528), May 20–24, Budapest, Hungary, ACM.

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