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Erschienen in:
2011 | OriginalPaper | Buchkapitel
Exploiting Conversational Features to Detect High-Quality Blog Comments
verfasst von : Nicholas FitzGerald, Giuseppe Carenini, Gabriel Murray, Shafiq Joty
Erschienen in: Advances in Artificial Intelligence
Verlag: Springer Berlin Heidelberg
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In this work, we present a method for classifying the quality of blog comments using Linear-Chain Conditional Random Fields (CRFs). This approach is found to yield high accuracy on binary classification of high-quality comments, with conversational features contributing strongly to the accuracy. We also present a new corpus of blog data in conversational form, complete with user-generated quality moderation labels from the science and technology news blog Slashdot.