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Selected Works of Douglas C. Derrick
Article
Negotiation Outcome Classification Using Language Features
Group Decision and Negotiation (2012)
  • Douglas Twitchell, Boise State University
  • Matthew L Jensen, University of Oklahoma
  • Douglas C. Derrick, University of Nebraska at Omaha
  • Judee K. Burgoon, University of Arizona
  • Jay F. Nunamaker, Jr., University of Arizona
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Abstract
In this paper we discuss the relationships among negotiations, integrative and distributive speech acts, and classification of negotiation outcome. Our findings present how using automated linguistic analysis can show the trajectory of negotiations towards convergence (resolution) or divergence (non-resolution) and how these trajectories accurately classify negotiation outcomes. Consequently, we present the results of our negotiation outcome classification study, in which we use a corpus of 20 transcripts of actual face-to-face negotiations to build and test two classification models. The first model uses language features and speech acts to place negotiation utterances onto an integrative and distributive scale. The second uses that scale to classify the negotiations themselves as successful or unsuccessful at the midpoint, three-quarters of the way through, and at the end of the negotiation. Classification accuracy rates were 80, 75, and 85 % respectively.
Keywords
  • Negotiaion,
  • negotiation outcome,
  • language features,
  • machine learning,
  • speech acts
Disciplines
Publication Date
Summer July 27, 2012
DOI
10.1007/s10726-012-9301-y
Citation Information
Douglas Twitchell, Matthew L Jensen, Douglas C. Derrick, Judee K. Burgoon, et al.. "Negotiation Outcome Classification Using Language Features" Group Decision and Negotiation Vol. 22 Iss. 1 (2012) p. 135 - 151 ISSN: 0926-2644
Available at: http://works.bepress.com/douglas_derrick/10/