Topic extraction from news archive using TF∗PDF algorithm

Khoo Khyou Bun, M. Ishizuka

Research output: Chapter in Book/Report/Conference proceedingConference contribution

92 Citations (Scopus)

Abstract

Since the Web became widespread, the amount of electronically available information online, especially news archives, has proliferated and threatens to become overwhelming. We propose an information system that will extract main topics in a news archive on a weekly basis. By obtaining a weekly report, a user can know what the main news events were in the past week.

Original languageEnglish
Title of host publicationWISE 2002 - Proceedings of the 3rd International Conference on Web Information Systems Engineering
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages73-82
Number of pages10
ISBN (Print)0769517668, 9780769517667
DOIs
Publication statusPublished - 2002
Externally publishedYes
Event3rd International Conference on Web Information Systems Engineering, WISE 2002 - Singapore, Singapore
Duration: 2002 Dec 122002 Dec 14

Other

Other3rd International Conference on Web Information Systems Engineering, WISE 2002
CountrySingapore
CitySingapore
Period02/12/1202/12/14

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Information Systems
  • Control and Systems Engineering

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  • Cite this

    Bun, K. K., & Ishizuka, M. (2002). Topic extraction from news archive using TF∗PDF algorithm. In WISE 2002 - Proceedings of the 3rd International Conference on Web Information Systems Engineering (pp. 73-82). [1181645] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/WISE.2002.1181645