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A Hybrid Approach for Aspect-Based Sentiment Analysis Using a Lexicalized Domain Ontology and Attentional Neural Models

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The Semantic Web (ESWC 2019)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 11503))

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Abstract

This work focuses on sentence-level aspect-based sentiment analysis for restaurant reviews. A two-stage sentiment analysis algorithm is proposed. In this method, first a lexicalized domain ontology is used to predict the sentiment and as a back-up algorithm a neural network with a rotatory attention mechanism (LCR-Rot) is utilized. Furthermore, two features are added to the backup algorithm. The first extension changes the order in which the rotatory attention mechanism operates (LCR-Rot-inv). The second extension runs over the rotatory attention mechanism for multiple iterations (LCR-Rot-hop). Using the SemEval-2015 and SemEval-2016 data, we conclude that the two-stage method outperforms the baseline methods, albeit with a small percentage. Moreover, we find that the method where we iterate multiple times over a rotatory attention mechanism has the best performance.

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Author information

Authors and Affiliations

  1. Erasmus University Rotterdam, P.O. Box 1738, 3000 DR, Rotterdam, The Netherlands

    Olaf Wallaart & Flavius Frasincar

Authors
  1. Olaf Wallaart
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  2. Flavius Frasincar
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Corresponding author

Correspondence to Flavius Frasincar .

Editor information

Editors and Affiliations

  1. Wright State University, Dayton, OH, USA

    Pascal Hitzler

  2. KMi, The Open University, Milton Keynes, UK

    Miriam Fernández

  3. University of California, Santa Barbara, CA, USA

    Krzysztof Janowicz

  4. Maastricht University, Maastricht, The Netherlands

    Amrapali Zaveri

  5. Heriot-Watt University, Edinburgh, UK

    Alasdair J.G. Gray

  6. IBM Research, Dublin, Ireland

    Vanessa Lopez

  7. The Australian National University, Canberra, ACT, Australia

    Armin Haller

  8. Jönköping University, Jönköping, Sweden

    Karl Hammar

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Wallaart, O., Frasincar, F. (2019). A Hybrid Approach for Aspect-Based Sentiment Analysis Using a Lexicalized Domain Ontology and Attentional Neural Models. In: Hitzler, P., et al. The Semantic Web. ESWC 2019. Lecture Notes in Computer Science(), vol 11503. Springer, Cham. https://doi.org/10.1007/978-3-030-21348-0_24

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  • DOI: https://doi.org/10.1007/978-3-030-21348-0_24

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-21347-3

  • Online ISBN: 978-3-030-21348-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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