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New Technology of Library and Information Service  2011, Vol. 27 Issue (7/8): 97-103    DOI: 10.11925/infotech.1003-3513.2011.07-08.16
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Design and Implementation of Semantic-based Sentiment Mining System
Li Gang, Wang Zhongyi
School of Information Management, Wuhan University, Wuhan 430072, China
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Abstract  Due to the complexity of natural language, there are still some problems existing in sentiment mining such as: domain dependence of sentiment words, implicit features recognition, synonym recognition, the calculation of the features' sentiment strengths and so on. To solve these problems, this paper proposes a sentiment mining method based on topic map. This method, which makes full use of the semantic relationships between feature words and sentiment words, can improve the accuracy of the sentiment mining to certain extent.
Key wordsSentiment mining      Topic map      Structure of features     
Received: 26 May 2011      Published: 09 October 2011
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TP391.1

 

Cite this article:

Li Gang, Wang Zhongyi. Design and Implementation of Semantic-based Sentiment Mining System. New Technology of Library and Information Service, 2011, 27(7/8): 97-103.

URL:

http://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/10.11925/infotech.1003-3513.2011.07-08.16     OR     http://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/Y2011/V27/I7/8/97

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