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Leveraging Polarity Switches and Domain Ontologies for Sentiment Analysis in Text

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Computational Intelligence, Communications, and Business Analytics (CICBA 2017)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 775))

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Abstract

This paper proposes an approach for Sentiment Analysis on online textual reviews that leverages polarity switches and domain ontologies to first perform Aspect Based Sentiment Analysis and uses it to then refine the overall sentiment scores. It segregates the review text into different fragments using sentiment polarity switching information. Then, it maps each of these fragments with the domain ontology to determine the aspect each fragment refers to and carries out corresponding Aspect Based Sentiment Analysis. Finally, the sentiments from all the aspects are clubbed together taking into account the hierarchical level of aspects in the domain ontology to refine the overall review polarity. Hontology was used to map the textual fragments to different aspects in the hotel domain like service, room, etc. Experiments carried out in the hotel domain on 800 hotel reviews extracted from Tripadvisor, Yelp, Expedia, Orbitz, Hotels.com and Priceline show that Aspect Based SA and domain ontologies together can indeed be used to refine SA. The macro level F1 score for the proposed approach is 3.96% higher than the baseline approach.

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Authors and Affiliations

  1. Department of Computer Engineering, Netaji Subhas Institute of Technology, New Delhi, India

    Srishti Sharma, Shampa Chakraverty & Anisha Jauhari

Authors
  1. Srishti Sharma
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  2. Shampa Chakraverty
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  3. Anisha Jauhari
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Corresponding author

Correspondence to Srishti Sharma .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, University of Kalyani, Kalyani, West Bengal, India

    J. K. Mandal

  2. Department of Computer and System Sciences, Visva Bharati University, Bolpur Santiniketan, West Bengal, India

    Paramartha Dutta

  3. Department of Information Technology, Calcutta Business School, Kolkata, India

    Somnath Mukhopadhyay

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Sharma, S., Chakraverty, S., Jauhari, A. (2017). Leveraging Polarity Switches and Domain Ontologies for Sentiment Analysis in Text. In: Mandal, J., Dutta, P., Mukhopadhyay, S. (eds) Computational Intelligence, Communications, and Business Analytics. CICBA 2017. Communications in Computer and Information Science, vol 775. Springer, Singapore. https://doi.org/10.1007/978-981-10-6427-2_7

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  • DOI: https://doi.org/10.1007/978-981-10-6427-2_7

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-6426-5

  • Online ISBN: 978-981-10-6427-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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