Automatic concept classification of text from electronic meetings

Hsinchun Chen, P. Hsu, R. Orwig, L. Hoopes, Jay F Nunamaker

Research output: Contribution to journalArticle

84 Citations (Scopus)

Abstract

Collaborative work groups are now utilizing specialized computer aids known as groupware which have been gaining the admiration of corporations. One of their applications, electronic meeting software, helps improve meeting quality by permitting anonymous comments over networked computer and by encouraging equal membership participation during a meeting. A major advantage of this software is its ability to let meeting participants brainstorm ideas in parallel mode, i.e., they can sit around a table and 'talk' at the same time using their keyboards. However, the overwhelming volume of brainstorming comments from using meeting software creates a burden during idea organization, thus becoming a bottleneck; counteracts productivity gains; and reduces meeting participant satisfaction. With the adoption of Artificial Intelligence, an automatic classification tool for electronic brainstorming output was designed to generate a tentative list of the important ideas and topics represented in meeting comment.

Original languageEnglish (US)
Pages (from-to)56-73
Number of pages18
JournalCommunications of the ACM
Volume37
Issue number10
DOIs
StatePublished - Oct 1994

Fingerprint

Electronics
Groupware
Software
Artificial intelligence
Collaborative Work
Productivity
Artificial Intelligence
Table
Industry
Output
Text
Concepts
Participation

ASJC Scopus subject areas

  • Computational Theory and Mathematics
  • Computer Graphics and Computer-Aided Design
  • Hardware and Architecture
  • Software
  • Theoretical Computer Science

Cite this

Automatic concept classification of text from electronic meetings. / Chen, Hsinchun; Hsu, P.; Orwig, R.; Hoopes, L.; Nunamaker, Jay F.

In: Communications of the ACM, Vol. 37, No. 10, 10.1994, p. 56-73.

Research output: Contribution to journalArticle

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