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.

翻译：比较观点挖掘是情感分析的一个专门领域，旨在识别并提取以比较方式表达的情感。为解决这一任务，我们提出了一种方法，该方法包含解决三个连续子任务：（i）识别比较句，即判断句子是否具有比较含义；（ii）提取比较元素，即确定比较主体、客体、方面和谓语；（iii）对比较类型进行分类，这有助于更深入地理解越南产品评论中的用户情感。我们的方法在2023年越南语言与语音处理（VLSP）挑战赛关于越南产品评论比较观点挖掘（ComOM）中排名第五。