Movie rating and review summarization in mobile environment

Chien-Liang Liu*, Wen Hoar Hsaio, Chia-Hoang Lee, Gen Chi Lu, Emery Jou

*此作品的通信作者

研究成果: Review article同行評審

96 引文 斯高帕斯(Scopus)

摘要

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.

原文English
文章編號5759102
頁(從 - 到)397-407
頁數11
期刊IEEE Transactions on Systems, Man and Cybernetics Part C: Applications and Reviews
42
發行號3
DOIs
出版狀態Published - 1 5月 2012

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