Abstract
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Article Information:
A Text Categorization Algorithm Based on Sense Group
Jing Wan, Huiming Luo, Junkai Yi and Yubin Zhou
Corresponding Author: Junkai Yi
Submitted: June 28, 2012
Accepted: August 08, 2012
Published: February 11, 2013 |
Abstract:
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Giving further consideration on linguistic feature, this study proposes an algorithm of Chinese text categorization based on sense group. The algorithm extracts sense group by analyzing syntactic and semantic properties of Chinese texts and builds the category sense group library. SVM is used for the experiment of text categorization. The experimental results show that the precision and recall of the new algorithm based on sense group is better than that of traditional algorithms.
Key words: Semantic concept, sense group, support vector machine, text categorization, , ,
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Cite this Reference:
Jing Wan, Huiming Luo, Junkai Yi and Yubin Zhou, . A Text Categorization Algorithm Based on Sense Group. Research Journal of Applied Sciences, Engineering and Technology, (05): 1539-1543.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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