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Appraisal expression recognition based on generalized mutual information

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成果类型:
期刊论文
作者:
Huan Huang;Qingtang Liu;Tao Huang 0017
作者机构:
[Tao Huang 0017; Huan Huang; Qingtang Liu] Central China Normal University, National Engineering Research Center for E-Learning, Wuhan, China
语种:
英文
期刊:
Journal of Computers
ISSN:
1796-203X
年:
2013
卷:
8
期:
7
页码:
1715-1721
机构署名:
本校为第一机构
院系归属:
国家数字化学习工程技术研究中心
摘要:
The polarity of a subjective sentence in customers' reviews depends on not only the semantic orientation of opinion words, but also their context, especially the modified features. An Appraisal Expression consists of an opinion word and the modified feature, and can accurately describe the holders' opinion about the feature. In this paper, we propose a novel method that uses generalized mutual information to automatically recognize the appraisal expressions from customers' reviews. Our method does not fill in any template and is domain independent. More important, our method can avoid the comp...

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