Unveiling Comparative Sentiments in Vietnamese Product Reviews: A Sequential Classification Framework

• URL: http://arxiv.org/abs/2401.01108v1
• Date: Tue, 2 Jan 2024 08:58:01 GMT
• Title: Unveiling Comparative Sentiments in Vietnamese Product Reviews: A Sequential Classification Framework
• Authors: Ha Le, Bao Tran, Phuong Le, Tan Nguyen, Dac Nguyen, Ngoan Pham, Dang Huynh
• Abstract summary: We propose an approach that consists of solving three sequential sub-tasks: identifying comparative sentence, extracting comparative elements, and classifying comparison types. Our method is ranked fifth at the Vietnamese Language and Speech Processing (VLSP) 2023 challenge on Comparative Opinion Mining (ComOM) from Vietnamese Product Reviews.
• Score: 2.235716381266672
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: 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.

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