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Coreference resolution Ontology-based in sentiment analysis

Le Thi Thuy 1
Phan Thi Tuoi 1, *
Quan Thanh Tho 1
  1. Ho Chi Minh City University of Technology, VNU-HCM
Correspondence to: Phan Thi Tuoi, Ho Chi Minh City University of Technology, VNU-HCM. Email: tuoi@cse.hcmut.edu.vn.
Volume & Issue: Vol. 20 No. K9 (2017) | Page No.: 23-30 | DOI: 10.32508/stdj.v20iK9.1673
Published: 2019-04-15

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Copyright The Author(s) 2023. This article is published with open access by Vietnam National University, Ho Chi Minh city, Vietnam. This article is distributed under the terms of the Creative Commons Attribution License (CC-BY 4.0) which permits any use, distribution, and reproduction in any medium, provided the original author(s) and the source are credited. 

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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