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| Main Authors: | , , , , , , |
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| Format: | Preprint |
| Published: |
2024
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2401.01108 |
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| _version_ | 1866914627057614848 |
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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 |