publication . Thesis . 2010

Machine learning techniques for persuasion dectection in conversation

Ortiz, Pedro.;
Open Access
  • Published: 01 Jun 2010
  • Publisher: Monterey, California. Naval Postgraduate School
Abstract
We determined that it is possible to automatically detect persuasion in conversations using three traditional machine learning techniques, naive bayes, maximum entropy, and support vector machine. These results are the first of their kind and serve as a baseline for all future work in this field. The three techniques consistently outperformed the baseline F-score, but not at a level that would be useful for real world applications. The corpus of data was comprised of four types of negotiation transcripts, labeled according to a persuasion model developed by James Cialdini. We discovered that the transcripts from the Davidian standoff in Waco, Texas were signific...
Subjects
free text keywords: Computer science, Conversation, Machine learning, Negotiation
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