基于语义的KNN短文本分类算法研究

张素智; 刘婧姣

doi:10.3969/j.issn.2095-476X.2012.06.001

Volume 27 Issue 6

September 2012

Article Contents

Abstract

References

ZHANG Su-zhi and LIU Jing-jiao. A short text KNN classification algorithm based on semantic[J]. Journal of Light Industry, 2012, 27(6): 1-4. doi: 10.3969/j.issn.2095-476X.2012.06.001

Citation: ZHANG Su-zhi and LIU Jing-jiao. A short text KNN classification algorithm based on semantic[J]. Journal of Light Industry, 2012, 27(6): 1-4. doi: 10.3969/j.issn.2095-476X.2012.06.001 shu

A short text KNN classification algorithm based on semantic

College of Computer and Communication Engineering, Zhengzhou University of Light Industry, Zhengzhou 450002, China

Received Date: 2012-02-26
Available Online: 2012-09-16

Abstract

Aiming at the problems of key words sparse features,sample quantity of the short text classification and differcult dealing with,a method based on semantic KNN short text classification algorithm was presented.The algorithm extracts short text feature words based on the word segmentation strategy, combining CNKI to key for concept mapping to improve the short text semantic expression,KNN classification algorithm was improved according to the characteristics of short text through application of LSA dimensionality reduction. The experiment results showed that the algorithm can effectively improve the short text classification performance.
- short text,
- text classification,
- semantic expansion,
- KNN classification algorithm
References
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