Study on Topic Evolution Based on Text Mining

Abstract

With the development of digital library technology, there are a variety of digital literatures in our life. It is very important to analyze these text for understanding topic evolution. And it is very valuable for the research work and helpful for researchers. This paper investigates this problem, and tries to use text mining technology for studying it. First, we summarize the related works, indicate their weakness, then propose the method for this problem, and present new framework and steps for this problem. Finally, the paper is summarized and some future works are also pointed out.

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