Content Analysis Through the Machine Learning Mill

Vivi Nastase (), Sabine Koeszegi () and Stan Szpakowicz ()
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Vivi Nastase: University of Ottawa
Sabine Koeszegi: University of Vienna
Stan Szpakowicz: University of Ottawa

Group Decision and Negotiation, 2007, vol. 16, issue 4, No 5, 335-346

Abstract: Abstract We present an analysis of partial automation of content analysis using machine learning methods. We use a decision-tree induction system to learn from manually categorized negotiation transcripts of electronic buyer–seller negotiations. The data we use were gathered using the Web-based negotiation support systems Inspire and SimpleNS. We experiment with various ways of representing the data to find the solution that gives the best results. The experiments show that we can identify, in relatively small data sets, linguistic features of interest for the detection of negotiation behaviour and negotiation-specific topics.

Keywords: content analysis; machine learning (search for similar items in EconPapers)
Date: 2007
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DOI: 10.1007/s10726-006-9053-7

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