Exploiting Conversational Features to Detect High-Quality Blog Comments

Abstract. 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.

• Type: Journal
• Year: 2011
• Where: AI
• Authors: Nicholas FitzGerald, Giuseppe Carenini, Gabriel Murray, Shafiq R. Joty
• Keywords: AI 2011, Artificial Intelligence, Linear Chain, Quality Comments, Random Fields