论文标题
采矿客户产品开发评论：汇总过程
Mining customer product reviews for product development: A summarization process
论文作者
论文摘要
这项研究旨在从在线评论中识别和构建与客户的喜好相关的单词和表达方式，以指导产品开发。以前的方法主要集中在产品功能上。但是，审稿人不仅对产品功能表示偏爱。在本文中，基于设计科学的广泛文献综述，作者提出了一个摘要模型，其中包含用户偏好的倍数，例如产品提供，情感，使用条件。同时，将描述偏好这些方面的语言模式发现并起草为注释指南。一项案例研究表明，通过提出的模型和注释指南，人类注释者可以通过高度介绍进行在线评论。由于高介绍的人类注释结果对于使用自然语言处理自动化在线审查摘要过程至关重要，因此本研究为未来的自动化研究提供了材料。
This research set out to identify and structure from online reviews the words and expressions related to customers' likes and dislikes to guide product development. Previous methods were mainly focused on product features. However, reviewers express their preference not only on product features. In this paper, based on an extensive literature review in design science, the authors propose a summarization model containing multiples aspects of user preference, such as product affordances, emotions, usage conditions. Meanwhile, the linguistic patterns describing these aspects of preference are discovered and drafted as annotation guidelines. A case study demonstrates that with the proposed model and the annotation guidelines, human annotators can structure the online reviews with high inter-agreement. As high inter-agreement human annotation results are essential for automatizing the online review summarization process with the natural language processing, this study provides materials for the future study of automatization.
