Study on the Method of Feature Selection Based on Hybrid Model for Text Classification

Run Zhi Li; Yang Sen Zhang

doi:10.4028/www.scientific.net/AMR.433-440.2881

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 433-440Study on the Method of Feature Selection Based on...

Study on the Method of Feature Selection Based on Hybrid Model for Text Classification

Abstract:

In this paper, we study on the problem of how to combine feature selection models in text classification ,and present a method through build the hybrid model for feature selection ,this hybrid model combined with advantage of four feature selection models (DF,MI, IG, CHI), then we use the Naive Bayes model as classifier to verify the effect of the hybrid feature selelction model ,and experiments shows that the hybrid model is correct and effective and get good performance in text classification.

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Periodical:

Advanced Materials Research (Volumes 433-440)

Pages:

2881-2886

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.433-440.2881

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Online since:

January 2012

Authors:

Run Zhi Li, Yang Sen Zhang

Keywords:

Feature Selection, Hybrid Model, Naive Bayes, Text Classification

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References

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