Opinion mining is the branch of computation that deals with opinions, appraisals, attitudes, and emotions of people and their different aspects. This field has attracted substantial research interest in recent years. Aspect-level (called aspect-based opinion mining) is often desired in practical applications as it provides detailed opinions or sentiments about different aspects of entities and entities themselves, which are usually required for action. Aspect extraction and entity extraction are thus two core tasks of aspect-based opinion mining. his paper has presented a framework of aspect-based opinion mining based on the concept of transfer learning. on real-world customer reviews available on the Amazon website. The model has yielded quite satisfactory results in its task of aspect-based opinion mining.
翻译:意见采矿是涉及人们的意见、评估、态度和情感及其不同方面的计算分支,近年来,这个领域吸引了大量的研究兴趣,在实际应用中往往需要考察一级(所谓的基于侧面的意见采矿),因为它对通常需要采取行动的实体和实体本身的不同方面提供了详细的意见或看法,因此,勘探开采和实体开采是基于侧面的意见采矿的两项核心任务,他的论文根据转让学习的概念,提出了一个基于方面的意见采矿框架。关于亚马逊网站上真实世界客户审查,该模型在基于面面面的意见采矿任务中取得了相当令人满意的成果。