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2015 | OriginalPaper | Chapter

A Novel Feature Selection Method Based on Category Distribution and Phrase Attributes

Authors : Yi Zheng, Weihong Han, Chengzhang Zhu

Published in: Trustworthy Computing and Services

Publisher: Springer Berlin Heidelberg

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Abstract

A novel and effective feature selection method called CDPAB-FSM(category distribution and phrase attribute based feature selection method) for automatical Chinese web page classification was proposed. The method combined the distribution among categories with that within the category. As well, the length and position of the phrases to select were taken into account in order to distinguish the feature phrases from other unimportant ones. Experiments showed that CDPAB-FSM was suited for feature selection of Chinese web page classification and it achieved better classification results than TF-IDF did.

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Metadata
Title
A Novel Feature Selection Method Based on Category Distribution and Phrase Attributes
Authors
Yi Zheng
Weihong Han
Chengzhang Zhu
Copyright Year
2015
Publisher
Springer Berlin Heidelberg
Book
Trustworthy Computing and Services

Print ISBN: 978-3-662-47400-6

Electronic ISBN: 978-3-662-47401-3

Copyright Year: 2015

DOI
https://doi.org/10.1007/978-3-662-47401-3_4

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