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Abstract

In this paper, we propose an effective model for aspect-based sentiment analysis. First, we combined a sentiment dictionary and syntactic dependency rules to extract reliable word pairs (sentiment — aspect). Then, thanks to ontology, we grouped those aspects and determined the sentiment polarity of each. When we conducted experiments on real reviews, the system showed positive results.



Author's Affiliation
  • Thien Khai Tran

    Google Scholar Pubmed

  • Tuoi Thi Phan

    Email I'd for correspondance: tuoi@cse.hcmut.edu.vn
    Google Scholar Pubmed

Article Details

Issue: Vol 20 No K7 (2017)
Page No.: 21-27
Published: Nov 27, 2018
Section: Engineering and Technology - Research article
DOI: https://doi.org/10.32508/stdj.v20iK7.1207

 Copyright Info

Creative Commons License

Copyright: The Authors. This is an open access article distributed under the terms of the Creative Commons Attribution License CC-BY 4.0., which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

 How to Cite
Tran, T., & Phan, T. (2018). Towards a sentiment analysis model based on semantic relation analysis. Science and Technology Development Journal, 20(K7), 21-27. https://doi.org/https://doi.org/10.32508/stdj.v20iK7.1207

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