Research on the Web Chinese Keywords Extraction Algorithm Based on the Improved TFIDF

Abstract

An improved extraction algorithm of Web Chinese keywords is proposed in this paper based on the traditional feature words weighted algorithm—TFIDF. A series of controlled experiments have proved that the improved algorithm is superior to the traditional one for higher accuracy and recall rate, and it can precisely and automatically extract the key words from the target documents.