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Language Patterns in the Learning of Strategies from Negotiation Texts

  • Marina Sokolova
  • Stan Szpakowicz
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4013)

Abstract

The paper shows how to construct language patterns that signal influence strategies and tactical moves corresponding to such strategies. We apply corpus analysis methods to the extraction of certain multi-word patterns from the text data of electronic negotiations. The patterns thus acquired become features in the task of classifying those texts. A series of machine learning experiments predicts the negotiation outcome from the texts associated with first halves of negotiations. We compare the results with the classification of complete negotiations.

Keywords

Sentiment Analysis Personal Pronoun Negotiation Strategy Language Pattern Secondary Modal 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Marina Sokolova
    • 1
  • Stan Szpakowicz
    • 1
    • 2
  1. 1.School of Information Technology and EngineeringUniversity of OttawaOttawaCanada
  2. 2.Institute of Computer SciencePolish Academy of SciencesWarsawPoland

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