Research on Fast Text Classifier Based on New Keywords Extraction Method
基于新的关键词提取方法的快速文本分类系统

Keyword extraction is the sticking point for Automatic Classification and Text Data Mining Application. Taking traits of nature language into consideration, this paper provides a new way called Fast Segmentation (FS) which is based on verb, virtual words and stop words to improve traditional segmentation technique. Then, we filter result of FS by TFIDF3] Algorithm so that we can classify Web text fast and efficiently. The experiment has indicated that without reducing the correct rate of classification, the speed of processing has improved distinctly.