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An Approach for Intention Mining of Complex Comparative Opinion Why Type Questions Asked on Product Review Sites

  • Conference paper
Computational Linguistics and Intelligent Text Processing (CICLing 2015)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 9042))

Abstract

Opinion why-questions require answers to include reasons, elaborations, explanations for the users’ sentiments expressed in the questions. Sentiment analysis has been recently used for answering why type opinion questions.Existing research addresses simple why-type questions having description of single product in the questions. In real life, there could be complex why type questions having description of multiple products (as observed in comparative sentences) given in multiple sentences. For example, the question, “I need mobile with good camera and nice sound quality. Why should I go for buying Nokia over Samsung?” Nokia is the main focus for the questioner who shows positive intention for buying mobile. This calls for natural requirement for systems to identify the product which is centre of attention for the questioners and the intention of the questioner towards the same. We address such complex questions and propose an approach to perform intention mining of the questioner by determining the sentiment polarity of the questioner towards the main focused product. We conduct experiments which obtain better results as compared to existing baseline systems.

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Authors and Affiliations

  1. Computer Engineering Department, NIT Kurukshetra, Haryana, India, 136119

    Amit Mishra & Sanjay Kumar Jain

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  1. Amit Mishra
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  2. Sanjay Kumar Jain
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Editors and Affiliations

  1. Centro de Investigación en Computación, Instituto Politécnico Nacional, Mexico DF, Mexico

    Alexander Gelbukh

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Mishra, A., Jain, S.K. (2015). An Approach for Intention Mining of Complex Comparative Opinion Why Type Questions Asked on Product Review Sites. In: Gelbukh, A. (eds) Computational Linguistics and Intelligent Text Processing. CICLing 2015. Lecture Notes in Computer Science(), vol 9042. Springer, Cham. https://doi.org/10.1007/978-3-319-18117-2_19

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  • DOI: https://doi.org/10.1007/978-3-319-18117-2_19

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-18116-5

  • Online ISBN: 978-3-319-18117-2

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