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An Information Retrieval-Based Approach to Determining Contextual Opinion Polarity of Words

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Advances in Information Retrieval (ECIR 2014)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 8416))

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Abstract

The paper presents a novel method for determining contextual polarity of ambiguous opinion words. The task of categorizing polarity of opinion words is cast as an information retrieval problem. The advantage of the approach is that it does not rely on hand-crafted rules and opinion lexicons. Evaluation on a set of polarity-ambiguous adjectives as well as a set of both ambiguous and unambiguous adjectives shows improvements compared to a context-independent method.

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Author information

Authors and Affiliations

  1. Department of Management Sciences, University of Waterloo, Waterloo, ON, Canada

    Olga Vechtomova

  2. Cheriton School of Computer Science, University of Waterloo, Waterloo, ON, Canada

    Kaheer Suleman & Jack Thomas

Authors
  1. Olga Vechtomova
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  2. Kaheer Suleman
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  3. Jack Thomas
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Editor information

Editors and Affiliations

  1. University of Amsterdam, Amsterdam, The Netherlands

    Maarten de Rijke  & Tom Kenter  & 

  2. Centrum Wiskunde en Informatica, Amsterdam, The Netherlands and Delft University of Technology, Delft, The Netherlands

    Arjen P. de Vries

  3. University of Illinois at Urbana-Champaign, Urbana, IL, USA

    ChengXiang Zhai

  4. University of Twente, Twente, The Netheralnds and Erasmus University Rotterdam, Rotterdam, The Netherlands

    Franciska de Jong

  5. SalesPredict, Haifa, Israel

    Kira Radinsky

  6. Microsoft Research, Cambridge, UK

    Katja Hofmann

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© 2014 Springer International Publishing Switzerland

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Vechtomova, O., Suleman, K., Thomas, J. (2014). An Information Retrieval-Based Approach to Determining Contextual Opinion Polarity of Words. In: de Rijke, M., et al. Advances in Information Retrieval. ECIR 2014. Lecture Notes in Computer Science, vol 8416. Springer, Cham. https://doi.org/10.1007/978-3-319-06028-6_56

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  • DOI: https://doi.org/10.1007/978-3-319-06028-6_56

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-06027-9

  • Online ISBN: 978-3-319-06028-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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