Finding Topics in Dynamical Text: Application to Chat Line Discussions
Ella Bingham, Ata Kabán, Mark Girolami · 2001
The problem of analysing dynamically evolving textual data has recently arisen. An example of such data is the discussion appearing in Internet chat lines. In this paper a recently introduced method, termed complexity pursuit, is used to extract the topics of a dynamical chat line discussion. Experimental results demonstrate that meaningful topics can be found and also suggest the applicability of the method to query-based retrieval from a temporally changing text stream.