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

التفاصيل البيبلوغرافية
العنوان: Unveiling Comparative Sentiments in Vietnamese Product Reviews: A Sequential Classification Framework
المؤلفون: Le, Ha, Tran, Bao, Le, Phuong, Nguyen, Tan, Nguyen, Dac, Pham, Ngoan, Huynh, Dang
سنة النشر: 2024
المجموعة: Computer Science
مصطلحات موضوعية: Computer Science - Computation and Language
الوصف: 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.
Comment: Accepted manuscript at VLSP 2023
نوع الوثيقة: Working Paper
URL الوصول: http://arxiv.org/abs/2401.01108
رقم الأكسشن: edsarx.2401.01108
قاعدة البيانات: arXiv