Distance courseware discrimination based on representative sentence assaying

Changjie Tang, R. W.H. Lau, Qing Li, Tong Li, Zhinghua Yu

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

4 Citations (Scopus)

Abstract

In order to train distance learning students the discernment ability, teachers often suggest Web courseware on specific topics, such as controversial social issues, with different viewpoints. Traditional discriminating strategies based on simple keyword matching often lead to low accuracy of discrimination. This paper proposes a method called DRSA (discriminating via representative sentence assaying), which is based on a five-stage process: extracting representative phrases, calculating a characteristic array, mining a threshold array, objective judgment, and subjective judgment. Experimental results show that our algorithms are very efficient in discriminating documents into positive and negative views.

Original languageEnglish
Title of host publicationProceedings - 7th International Conference on Database Systems for Advanced Applications, DASFAA 2001
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages92-99
Number of pages8
ISBN (Electronic)0769509967, 9780769509969
DOIs
Publication statusPublished - 1 Jan 2001
Externally publishedYes
Event7th International Conference on Database Systems for Advanced Applications, DASFAA 2001 - Hong Kong, China
Duration: 18 Apr 200121 Apr 2001

Publication series

NameProceedings - 7th International Conference on Database Systems for Advanced Applications, DASFAA 2001

Conference

Conference7th International Conference on Database Systems for Advanced Applications, DASFAA 2001
Country/TerritoryChina
CityHong Kong
Period18/04/0121/04/01

Keywords

  • Automatic Document Discrimination
  • Distance learning
  • Natural language understanding
  • Web Courseware

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications
  • Information Systems

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