Abstract
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.
Original language | English |
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Title of host publication | Poster proceedings of the 10th International World Wide Web Conference (WWW10) |
Pages | 198-199 |
ISBN (Electronic) | 962-85361-3-3 |
Publication status | Published - 2001 |
MoE publication type | A4 Conference publication |
Event | International World Wide Web Conference - Hong Kong, Hong Kong Duration: 1 May 2001 → 5 May 2001 Conference number: 10 |
Conference
Conference | International World Wide Web Conference |
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Abbreviated title | WWW |
Country/Territory | Hong Kong |
City | Hong Kong |
Period | 01/05/2001 → 05/05/2001 |
Keywords
- chat line discussion
- complexity pursuit
- data mining
- dynamical text
- topic identification