Finding Topics in Dynamical Text: Application to Chat Line Discussions

Ella Bingham; A. Kaban; M. Girolami

Finding Topics in Dynamical Text: Application to Chat Line Discussions

Ella Bingham, A. Kaban, M. Girolami

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-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 language	English
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
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

Access to Document

http://www10.org/cdrom/posters/frame.html

Cite this

@inproceedings{012cd24f297d47b1bdc23a1773bf692a,

title = "Finding Topics in Dynamical Text: Application to Chat Line Discussions",

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. ",

keywords = "chat line discussion, complexity pursuit, data mining, dynamical text, topic identification, chat line discussion, complexity pursuit, data mining, dynamical text, topic identification, chat line discussion, complexity pursuit, data mining, dynamical text, topic identification",

author = "Ella Bingham and A. Kaban and M. Girolami",

year = "2001",

language = "English",

pages = "198--199",

booktitle = "Poster proceedings of the 10th International World Wide Web Conference (WWW10)",

note = "International World Wide Web Conference, WWW ; Conference date: 01-05-2001 Through 05-05-2001",

}

TY - GEN

T1 - Finding Topics in Dynamical Text: Application to Chat Line Discussions

AU - Bingham, Ella

AU - Kaban, A.

AU - Girolami, M.

N1 - Conference code: 10

PY - 2001

Y1 - 2001

N2 - 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.

AB - 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.

KW - chat line discussion

KW - complexity pursuit

KW - data mining

KW - dynamical text

KW - topic identification

KW - chat line discussion

KW - complexity pursuit

KW - data mining

KW - dynamical text

KW - topic identification

KW - chat line discussion

KW - complexity pursuit

KW - data mining

KW - dynamical text

KW - topic identification

M3 - Conference article in proceedings

SP - 198

EP - 199

BT - Poster proceedings of the 10th International World Wide Web Conference (WWW10)

T2 - International World Wide Web Conference

Y2 - 1 May 2001 through 5 May 2001

ER -

Finding Topics in Dynamical Text: Application to Chat Line Discussions

Abstract

Conference

Keywords

Access to Document

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Cite this