Chi-square Statistics Feature Selection Based on Term Frequency and Distribution for Text Categorization-Reference-Cited by-同舟云学术

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Chi-square Statistics Feature Selection Based on Term Frequency and Distribution for Text Categorization

Published:2015-03-20 Issue:4 Volume:61 Page:351-362
ISSN:0377-2063
Container-title:IETE Journal of Research
language:en
Short-container-title:IETE Journal of Research

Author:

Jin Chuanxin,Ma Tinghuai,Hou Rongtao,Tang Meili,Tian Yuan,Al-Dhelaan Abdullah,Al-Rodhaan Mznah

Funder

National Natural Science Foundation of China

China Postdoctoral Science Foundation

Deanship of Scientific Research at King Saud University

Publisher

Informa UK Limited

Subject

Electrical and Electronic Engineering,Computer Science Applications,Theoretical Computer Science

Link

http://www.tandfonline.com/doi/pdf/10.1080/03772063.2015.1021385

Reference34 articles.

1. ROLEX-SP: Rules of lexical syntactic patterns for free text categorization

2. Machine learning in automated text categorization

3. A novel feature selection algorithm for text categorization

4. Integrating the voice of customers through call center emails into a decision support system for churn prediction

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