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《Journal of Chongqing University of Technology(Natural Science)》 2017-01
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Text Representation Based on Improved Vector Space Model

ZHANG Xiao-chuan;YU Xu-ting;ZHANG Yi-hao;College of Computer Science and Engineering,Chongqing University of Technology;  
Text representation transfers the readable text into computer-identifiable data structure,and it is a fundamental problem in text information processing field.As a text representation approach in Vector Space Model(VSM),tf-idf algorithm just considers the relevancy between term feature and document,but class.In order to solve this problem,the paper introduce the Chi-square concept of mathematical statistics,and propose a text representation algorithm——tf-idf-cθ.And the algorithm takes the term c value as a factor of a text representation,and c value measures the term distribution difference in classes,and also considers the term characteristic as θ value to produce the corresponding text representation based on the improved VSM.Last,it classifies short text using twoalgorithms above,and the experiment results show that the modified method is more effective,and partly solve the relevancy between term feature and class.
【Fund】: 国家自然科学基金资助项目(61502064);; 重庆市“121”科技支撑示范工程项目(cstc2014fazktjcsf40009)
【CateGory Index】: TP391.1
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