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Adapting Sentiments with Context

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Case-Based Reasoning Research and Development (ICCBR 2015)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9343))

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Abstract

Users of sentiment analysis applications are interested in opinions of individual aspects (e.g., excellent mileage) of a target entity rather than in their polarity (e.g., 56 % are positive). This analysis is known as aspect-level sentiment analysis. In this paper, we use document-level polarization to learn patterns for contextual polarity, which refers to finding whether a sentiment bearing word changes polarity in a given context. For example, in it is cheap looking, cheap is negative; in this is good quality and cheap, cheap is positive. Our proposed case-based approach for sentiment analysis assesses contextual polarity of individual aspects in the adaptation step leading to increased classification accuracy.

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Authors and Affiliations

  1. Federal University of Santa Catarina, Florianopolis, SC, Brazil

    Flávio Ceci, Alexandre L. Gonçalves & Roberto C. S. Pacheco

  2. Drexel University, Philadelphia, PA, USA

    Rosina O. Weber

Authors
  1. Flávio Ceci
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  2. Rosina O. Weber
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  3. Alexandre L. Gonçalves
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  4. Roberto C. S. Pacheco
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Corresponding author

Correspondence to Flávio Ceci .

Editor information

Editors and Affiliations

  1. Universität Paderborn, Paderborn, Germany

    Eyke Hüllermeier

  2. Goethe-Universität Frankfurt, Frankfurt/Main, Germany

    Mirjam Minor

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© 2015 Springer International Publishing Switzerland

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Ceci, F., Weber, R.O., Gonçalves, A.L., Pacheco, R.C.S. (2015). Adapting Sentiments with Context. In: Hüllermeier, E., Minor, M. (eds) Case-Based Reasoning Research and Development. ICCBR 2015. Lecture Notes in Computer Science(), vol 9343. Springer, Cham. https://doi.org/10.1007/978-3-319-24586-7_4

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  • DOI: https://doi.org/10.1007/978-3-319-24586-7_4

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-24585-0

  • Online ISBN: 978-3-319-24586-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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