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2013 (Vol. 5, Issue: 05)
Article Information:

A Text Categorization Algorithm Based on Sense Group

Jing Wan, Huiming Luo, Junkai Yi and Yubin Zhou
Corresponding Author:  Junkai Yi 

Key words:  Semantic concept, sense group, support vector machine, text categorization, , ,
Vol. 5 , (05): 1539-1543
Submitted Accepted Published
June 28, 2012 August 08, 2012 February 11, 2013

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.
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  Cite this Reference:
Jing Wan, Huiming Luo, Junkai Yi and Yubin Zhou, 2013. A Text Categorization Algorithm Based on Sense Group.  Research Journal of Applied Sciences, Engineering and Technology, 5(05): 1539-1543.
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ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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