Analysis of netizen's affective tendency on public opinion

被引：1
|
作者：
Gao H. [1 ]
Zhou M. [1 ]
Fu Y. [1 ]
机构：
[1] Web Sciences Center, University of Electronic Science and Technology of China, Chengdu
来源：
Journal of Convergence Information Technology | 2010年 / 5卷 / 06期
关键词：
Affective tendency; Opinion sentence; Oppose; Support; Topic sentence;
D O I：
10.4156/jcit.vol5.issue6.12
中图分类号：
学科分类号：
摘要：
One can express personal experiences and opinions on hot events. For a public opinion, netizen may support or oppose it. The research of the affective tendency of netizen on public opinion is of great value. In this paper, we analyze the features of public opinion sentence and making use of natural language processing techniques to introduce a new approach that can compute the affective tendency of netizen on public opinion and the distribution of different tendency. The experimental result shows that the approach is qualitatively quite useful when used to analyze the affective tendency of netizen on public opinion from some websites.
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