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IJCNLP
2005
Springer

A New Method for Sentiment Classification in Text Retrieval

10 years 16 days ago
A New Method for Sentiment Classification in Text Retrieval
Traditional text categorization is usually a topic-based task, but a subtle demand on information retrieval is to distinguish between positive and negative view on text topic. In this paper, a new method is explored to solve this problem. Firstly, a batch of Concerned Concepts in the researched domain is predefined. Secondly, the special knowledge representing the positive or negative context of these concepts within sentences is built up. At last, an evaluating function based on the knowledge is defined for sentiment classification of free text. We introduce some linguistic knowledge in these procedures to make our method effective. As a result, the new method proves better compared with SVM when experimenting on Chinese texts about a certain topic.
Yi Hu, Jianyong Duan, Xiaoming Chen, Bingzhen Pei,
Added 27 Jun 2010
Updated 27 Jun 2010
Type Conference
Year 2005
Where IJCNLP
Authors Yi Hu, Jianyong Duan, Xiaoming Chen, Bingzhen Pei, Ruzhan Lu
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