{"title":"Improved feature selection approach TFIDF in text mining","authors":"L. Jing, Houkuan Huang, Hong-bo Shi","doi":"10.1109/ICMLC.2002.1174522","DOIUrl":null,"url":null,"abstract":"This paper describes the feature selection method TFIDF (term frequency, inverse document frequency). With it, we process the data resource and set up the vector space model in order to provide a convenient data structure for text categorization. We calculate the precision of this method with the help of categorization results. According to the empirical results, we analyze its advantages and disadvantages and present a new TFIDF-based feature selection approach to improve its accuracy.","PeriodicalId":90702,"journal":{"name":"Proceedings. International Conference on Machine Learning and Cybernetics","volume":"87 1","pages":"944-946 vol.2"},"PeriodicalIF":0.0000,"publicationDate":"2002-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"207","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings. International Conference on Machine Learning and Cybernetics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICMLC.2002.1174522","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 207
Abstract
This paper describes the feature selection method TFIDF (term frequency, inverse document frequency). With it, we process the data resource and set up the vector space model in order to provide a convenient data structure for text categorization. We calculate the precision of this method with the help of categorization results. According to the empirical results, we analyze its advantages and disadvantages and present a new TFIDF-based feature selection approach to improve its accuracy.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
