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VNUHCM Journal of

Science and Technology Development

An official journal of Viet Nam National University Ho Chi Minh City, Viet Nam since 1997

ISSN: 1859-0128
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Towards a sentiment analysis model based on semantic relation analysis

Thien Khai Tran 1
Tuoi Thi Phan 1, *

  1. Khoa Khoa học và Kỹ thuật Máy tính, Trường Đại học Bách Khoa - ĐHQG-HCM. Số 268 Lý Thường Kiệt, Phường 14, Quận 10, Hồ Chí Minh
Correspondence to: Tuoi Thi Phan, Khoa Khoa học và Kỹ thuật Máy tính, Trường Đại học Bách Khoa - ĐHQG-HCM. Số 268 Lý Thường Kiệt, Phường 14, Quận 10, Hồ Chí Minh. Email: tuoi@cse.hcmut.edu.vn.
Volume & Issue: Vol. 20 No. K7 (2017) | Page No.: 21-27 | DOI: 10.32508/stdj.v20iK7.1207
Published: 2018-11-27

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Copyright © 2017 by the author(s).

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

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.

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