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. © Springer-Verlag Berlin Heidelberg 2006.
CITATION STYLE
Sokolova, M., & Szpakowicz, S. (2006). Language patterns in the learning of strategies from negotiation texts. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4013 LNAI, pp. 288–299). Springer Verlag. https://doi.org/10.1007/11766247_25
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