论文标题
使用基于方面意见挖掘方法的客户审查分析框架
A Framework of Customer Review Analysis Using the Aspect-Based Opinion Mining Approach
论文作者
论文摘要
意见挖掘是涉及人们及其不同方面的观点，评估，态度和情感的计算分支。近年来，该领域引起了重大研究的兴趣。在实际应用中通常需要方面级别（称为基于方面的意见挖掘），因为它提供了有关实体和实体本身的不同方面的详细观点或情感，这通常是行动所必需的。因此，提取和实体提取是基于方面意见挖掘的两个核心任务。他的论文根据转移学习的概念提出了一个基于方面的意见挖掘框架。在Amazon网站上可用的现实客户评论上。该模型在基于方面的意见挖掘任务中取得了令人满意的结果。
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.
