Movie review mining and summarization (2006)
| Venue: | In Proceedings of the International Conference on Information and Knowledge Management (CIKM |
| Citations: | 37 - 1 self |
BibTeX
@INPROCEEDINGS{Zhuang06moviereview,
author = {Li Zhuang and Feng Jing and Xiao-yan Zhu},
title = {Movie review mining and summarization},
booktitle = {In Proceedings of the International Conference on Information and Knowledge Management (CIKM},
year = {2006}
}
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Abstract
With the flourish of the Web, online review is becoming a more and more useful and important information resource for people. As a result, automatic review mining and summarization has become a hot research topic recently. Different from traditional text summarization, review mining and summarization aims at extracting the features on which the reviewers express their opinions and determining whether the opinions are positive or negative. In this paper, we focus on a specific domain – movie review. A multi-knowledge based approach is proposed, which integrates WordNet, statistical analysis and movie knowledge. The experimental results show the effectiveness of the proposed approach in movie review mining and summarization.
