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Text Mining Decision Elements from Meeting Transcripts

  • Caroline Chibelushi
  • Mike Thelwall
Chapter
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 52)

Abstract

The frequent but unfortunate need to rework software development projects may often be caused by inappropriate decision making. The first step in addressing this issue is to explore decision making processes and to extract the tangible elements of decision making within meetings. This chapter explores the hypothesis that text mining techniques can be used to extract the elements of decision making from software development project meetings and can ultimately be used as a facility to develop a decision management system. Theories of discourse, lexical chaining and cohesion are presented and used as the basis for the analysis of meeting transcripts. Information retrieval and data mining methods are also used. To assess the performance of the algorithm the C99 and TextTiling algorithms are used as comparators. The evaluation results show that our method is able to identify and extract the needs and actions of decision making with a high recall of 85–95% at a precision of 54–68%.

Keywords

Decision making process Rework Software development projects Text mining [1] 

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Copyright information

© Springer Science+Business Media B.V. 2009

Authors and Affiliations

  1. 1.School of Computing and IT, University of WolverhamptonWolverhamptonUK

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