SECTCS: towards improving VSM and naive Bayesian classifier

摘要

Based on the study of text classification technique, we proposed a new text classification method which improves Vector Space Model and Naive Bayesian classifier by using weight adjustment measure, implemented an experimental text classification system SECTCS (Smart English and Chinese Text Classification System), and made comparison within varions text classification approaches by using SECTCS. Compared with many commercial text classification systems, the behavior of SECTCS is more excellent. In this paper, we will introduce its framework, function and running environment, give our experimental results, and discuss a few important technical issues involved in the system to get some valuable conclusions. We will also describe how to improve Vector Space Model and Naive Bayesian classifier in detail.