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Movie Rating and Review Summarization in Mobile Environment

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5 Author(s)
Chien-Liang Liu ; Dept. of Comput. Sci., Nat. Chiao Tung Univ., Hsinchu, Taiwan ; Wen-Hoar Hsaio ; Chia-Hoang Lee ; Gen-Chi Lu
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In this paper, we design and develop a movie-rating and review-summarization system in a mobile environment. The movie-rating information is based on the sentiment-classification result. The condensed descriptions of movie reviews are generated from the feature-based summarization. We propose a novel approach based on latent semantic analysis (LSA) to identify product features. Furthermore, we find a way to reduce the size of summary based on the product features obtained from LSA. We consider both sentiment-classification accuracy and system response time to design the system. The rating and review-summarization system can be extended to other product-review domains easily.

Published in:

Systems, Man, and Cybernetics, Part C: Applications and Reviews, IEEE Transactions on  (Volume:42 ,  Issue: 3 )

Date of Publication:

May 2012

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