Title: Text Categorization by Feature Weighting Scheme Based on Rough Set
Abstract: Text Categorization is the focus of many areas like Information Retrieval,Data Mining and so on.Feature weighting is an important problem in text categorization.For computing feature weights,this paper presents a feature weighting scheme for text categorization based on rough set theory.The authors analyze the characteristics of rough set theory and TF-IDF,and consider the overall influence which the keywords establish over the classification from the aspects of approximation accuracy and approximation quality.The decision information of a feature for categorization is introduced into the weight of this feature,and the importance of the feature will be fully reflected.The experimental results indicate the effectiveness of approach.
Publication Year: 2011
Publication Date: 2011-01-01
Language: en
Type: article
Access and Citation
AI Researcher Chatbot
Get quick answers to your questions about the article from our AI researcher chatbot