Abstrakti
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.
Alkuperäiskieli | Englanti |
---|---|
Otsikko | Poster proceedings of the 10th International World Wide Web Conference (WWW10) |
Sivut | 198-199 |
ISBN (elektroninen) | 962-85361-3-3 |
Tila | Julkaistu - 2001 |
OKM-julkaisutyyppi | A4 Artikkeli konferenssijulkaisussa |
Tapahtuma | International World Wide Web Conference - Hong Kong, Hongkong Kesto: 1 toukok. 2001 → 5 toukok. 2001 Konferenssinumero: 10 |
Conference
Conference | International World Wide Web Conference |
---|---|
Lyhennettä | WWW |
Maa/Alue | Hongkong |
Kaupunki | Hong Kong |
Ajanjakso | 01/05/2001 → 05/05/2001 |
Tutkimusalat
- chat line discussion
- complexity pursuit
- data mining
- dynamical text
- topic identification