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Main Authors: Le, Ha, Tran, Bao, Le, Phuong, Nguyen, Tan, Nguyen, Dac, Pham, Ngoan, Huynh, Dang
Format: Preprint
Published: 2024
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Online Access:https://arxiv.org/abs/2401.01108
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author Le, Ha
Tran, Bao
Le, Phuong
Nguyen, Tan
Nguyen, Dac
Pham, Ngoan
Huynh, Dang
author_facet Le, Ha
Tran, Bao
Le, Phuong
Nguyen, Tan
Nguyen, Dac
Pham, Ngoan
Huynh, Dang
contents Comparative opinion mining is a specialized field of sentiment analysis that aims to identify and extract sentiments expressed comparatively. To address this task, we propose an approach that consists of solving three sequential sub-tasks: (i) identifying comparative sentence, i.e., if a sentence has a comparative meaning, (ii) extracting comparative elements, i.e., what are comparison subjects, objects, aspects, predicates, and (iii) classifying comparison types which contribute to a deeper comprehension of user sentiments in Vietnamese product reviews. Our method is ranked fifth at the Vietnamese Language and Speech Processing (VLSP) 2023 challenge on Comparative Opinion Mining (ComOM) from Vietnamese Product Reviews.
format Preprint
id arxiv_https___arxiv_org_abs_2401_01108
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Unveiling Comparative Sentiments in Vietnamese Product Reviews: A Sequential Classification Framework
Le, Ha
Tran, Bao
Le, Phuong
Nguyen, Tan
Nguyen, Dac
Pham, Ngoan
Huynh, Dang
Computation and Language
Comparative opinion mining is a specialized field of sentiment analysis that aims to identify and extract sentiments expressed comparatively. To address this task, we propose an approach that consists of solving three sequential sub-tasks: (i) identifying comparative sentence, i.e., if a sentence has a comparative meaning, (ii) extracting comparative elements, i.e., what are comparison subjects, objects, aspects, predicates, and (iii) classifying comparison types which contribute to a deeper comprehension of user sentiments in Vietnamese product reviews. Our method is ranked fifth at the Vietnamese Language and Speech Processing (VLSP) 2023 challenge on Comparative Opinion Mining (ComOM) from Vietnamese Product Reviews.
title Unveiling Comparative Sentiments in Vietnamese Product Reviews: A Sequential Classification Framework
topic Computation and Language
url https://arxiv.org/abs/2401.01108