New feature selection approach for text categorization
Year: 2013
Type: article
Abstract: Feature reduction is an important part in text categorization.On the basis of existing approaches of feature selection,considering the distribution property of feature between the positive class and negative class,combining four measure indicators for feature with categories distinguishing ability,a new approach named Composite Ratio(CR)for feature selection is proposed.Experiment using K-Nearest Neighbor(KNN)algorithm to examine the effectiveness of CR,the result shows that approach has better performance in dimension reduction.
Author: Zhongyang Xiong
Institution: Chongqing University
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W2348570206