Abstract
Several features existed in Chinese texts result in technologic bottleneck in Chinese text mining, at present the results of Chinese text clustering obtained by traditional methods are not very satisfactory. In this paper, we propose the text clustering method by the English texts clustering method called as Text Clustering via Particle Swarm Optimizer (TCPSO) to solve the Chinese text clustering problem. We preprocess the Chinese texts, and apply TCPSO to Chinese texts mining. The simulation results on text dataset selected from Chinese Nature Language Processing (CNLP) show that this approach effectively improves the quality of clustering and gets better results compared with k-means algorithm.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
