Finding Topics in Dynamical Text: Application to Chat Line Discussions

Ella Bingham, A. Kaban, M. Girolami

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

    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 languageEnglish
    Title of host publicationPoster proceedings of the 10th International World Wide Web Conference (WWW10)
    Pages198-199
    ISBN (Electronic)962-85361-3-3
    Publication statusPublished - 2001
    MoE publication typeA4 Conference publication
    EventInternational World Wide Web Conference - Hong Kong, Hong Kong
    Duration: 1 May 20015 May 2001
    Conference number: 10

    Conference

    ConferenceInternational World Wide Web Conference
    Abbreviated titleWWW
    Country/TerritoryHong Kong
    CityHong Kong
    Period01/05/200105/05/2001

    Keywords

    • chat line discussion
    • complexity pursuit
    • data mining
    • dynamical text
    • topic identification

    Fingerprint

    Dive into the research topics of 'Finding Topics in Dynamical Text: Application to Chat Line Discussions'. Together they form a unique fingerprint.

    Cite this