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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.
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Received: 26 May 2011
Published: 09 October 2011
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