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Abstract

Entity co-reference resolution and sentiment analysis are independent problems and popular research topics in the community of natural language processing. However, the combination of those two problems has not been getting much attention. Thus, this paper susgests to apply knowledge base to solve co- reference between object and aspect with sentiment. In addition, the paper also proposes the model of Ontology-based co-reference resolution in sentiment analysis for English text. Finally, we also discuss evaluation methods applied for our model and the results obtained.



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Article Details

Issue: Vol 20 No K9 (2017)
Page No.: 23-30
Published: Apr 15, 2019
Section: Engineering and Technology - Research article
DOI: https://doi.org/10.32508/stdj.v20iK9.1673

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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
Thi Thuy, L., Thi Tuoi, P., & Thanh Tho, Q. (2019). Coreference resolution Ontology-based in sentiment analysis. Science and Technology Development Journal, 20(K9), 23-30. https://doi.org/https://doi.org/10.32508/stdj.v20iK9.1673

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