Finding Topics in Dynamical Text: Application to Chat Line Discussions
The problem of analysing dynami ally evolving textual data has re ently arisen. An example of su h data is the dis ussion appearing in Internet hat lines. In this paper a re ently introdu ed method, termed omplexity pursuit, is used to extra t the topi s of a dynami al hat line disussion. Experimental results demonstrate that meaningful topi s an be found and also suggest the appli ability of the method to query-based retrieval from a temporally hanging text stream.