DocumentCode :
2351582
Title :
Web Forum Sentiment Analysis Based on Topics
Author :
Shi, Lei ; Sun, Bai ; Kong, Liang ; Zhang, Yan
Author_Institution :
Dept. of Machine Intell., Peking Univ., Beijing, China
Volume :
2
fYear :
2009
fDate :
11-14 Oct. 2009
Firstpage :
148
Lastpage :
153
Abstract :
As Web forum has become an enormous collection of highly valuable opinions and commentaries, more and more researchers express strong interests on it. However, most of them pay attention to the forum reviews rather than the posts themselves. In this paper we focus on recognizing the diversified opinions of different threads on the same topic from Chinese Web forums. First, we congregate the Web forum threads on the same topic into a cluster. In order to further distinguish different opinions for a topic, we propose a sentiment classification algorithm based on a probability word-list, which is constructed by us using a propagation method on the word graph with a seed set. Experimental results on a real data set show that our algorithm performs well with both high precision and efficiency, much better than traditional methods such as SVM and naive Bayes.
Keywords :
Web sites; classification; probability; Web forum; forum review; probability word-list; propagation method; sentiment analysis; sentiment classification; threads; word graph; Algorithm design and analysis; Classification algorithms; Clustering algorithms; Entropy; Information analysis; Information retrieval; Information technology; Machine intelligence; Sun; Yarn; Chinese web forum; sentiment analysis; topic detection;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer and Information Technology, 2009. CIT '09. Ninth IEEE International Conference on
Conference_Location :
Xiamen
Print_ISBN :
978-0-7695-3836-5
Type :
conf
DOI :
10.1109/CIT.2009.53
Filename :
5329118
Link To Document :
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