Computing Sentiment Polarity of Opinion WHY Type Question for Intention Mining of Questioners in Question Answering Systems

Opinion question answering systems (OQAS) search for answers from public opinions available on social web. WHYquestions asked in OQAS expect answers to incorporate reasons and explanations for the questioners’ sentiments expressed in the questions. Sentiment analysis has been recently used for determining sentiment polarity of WHY-questions so as to find the intention of users with which he is looking for getting information related to products. In our recent research[14, 15], we address complex comparative WHYtypes questions and propose an approach to perform sentiment analysis of the questioners. For example, the question, “I need mobile with good camera and nice sound quality. WHY should I go for buying Nokia over Samsung?” we determine the main focused product (Nokia) with respect to questioner’s perspectives who shows positive intention for buying mobile. The work does not deal with questions that have mixed emotions like WHY Dells are ok, HPs aren't that good, but Macs are Fantastic. Moreover, the work does not perform feature specific (camera and sound quality) sentiment analysis of questioners. In this paper, we perform the feature based sentiment analysis of questioners. We also address complex questions that have mixed emotions towards different products. We examine semantic structures of questions and propose an approach for sentiment analysis of questioners on product review sites. We finally conduct experiments which obtain better results as compared to existing baseline systems.