A Study on Document Filtering Using Naive Bayesian Classifier

베이지안 분류기를 이용한 문서 필터링

  • 임수연 (경북대학교 컴퓨터공학과) ;
  • 손기준 (경북대학교 컴퓨터공학과)
  • Published : 2005.06.01


Document filtering is a task of deciding whether a document has relevance to a specified topic. As Internet and Web becomes wide-spread and the number of documents delivered by e-mail explosively grows the importance of text filtering increases as well. In this paper, we treat document filtering problem as binary document classification problem and we proposed the News Filtering system based on the Bayesian Classifier. For we perform filtering, we make an experiment to find out how many training documents, and how accurate relevance checks are needed.