Exploring Technology Opportunities Based on User Needs: Application of Opinion Mining and SAO Analysis

IF 1.9 4区管理学 Q3 ENGINEERING, INDUSTRIAL

Engineering Management Journal Pub Date : 2022-05-04 DOI:10.1080/10429247.2022.2050130

Hyeji Jang, Sujin Park, B. Yoon

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引用次数: 4

Abstract

Abstract In recent years, as the importance of user innovation has become more important, enterprises have started to demand efficient and systematic user needs analysis for their products or services. Although opinion mining research based on a large number of online reviews available has been actively conducted recently, most existing studies that analyze user needs for technology development have provided inaccurate results due to the differences in vocabulary that exist between databases holding social data and patents. Motivated by this problem, we propose an approach to exploring technology opportunities that analyzes the subject-action-object (SAO) structures found in both patents and user reviews. To achieve this, we first carried out a sentiment analysis on user-review sentences linked to user needs, from this SAO analysis we extracted ample information related to technological structures contained in the reviews. Second, since in patent analysis, patent documents are structured in terms of the technological elements present, we extracted the technology’s SAO structures using their F-term code that contains multidimensional information available in this technology classification system. Finally, we vectorized the SAO structures derived from the reviews and patent documents using SAO2Vec before calculating the cosine similarity between SAOs in order to connect the reviews and patents. By applying the method proposed in this study to the automobile field, we present technological opportunities found in patents to address user needs found in automobile reviews.

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基于用户需求挖掘技术机会——观点挖掘和SAO分析的应用

近年来，随着用户创新的重要性日益凸显，企业开始要求对其产品或服务进行高效、系统的用户需求分析。尽管最近积极开展了基于大量在线评论的意见挖掘研究，但由于保存社会数据和专利的数据库之间存在词汇差异，大多数现有的分析用户技术开发需求的研究都提供了不准确的结果。在这个问题的激励下，我们提出了一种方法来探索技术机会，分析专利和用户评论中发现的主体-动作-对象(SAO)结构。为了实现这一点，我们首先对与用户需求相关的用户评论句子进行了情感分析，从这种SAO分析中我们提取了与评论中包含的技术结构相关的大量信息。其次，由于在专利分析中，专利文档是根据存在的技术元素进行结构化的，因此我们使用包含该技术分类系统中可用的多维信息的f项代码提取该技术的SAO结构。最后，我们使用SAO2Vec对从审稿和专利文献中得到的SAO结构进行矢量化，然后计算SAO之间的余弦相似度，以便将审稿和专利联系起来。通过将本研究中提出的方法应用于汽车领域，我们提出了在专利中发现的技术机会，以解决汽车评论中发现的用户需求。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Engineering Management Journal 工程技术-工程：工业

CiteScore

5.60

自引率

12.00%

发文量

审稿时长

>12 weeks

期刊介绍： EMJ is designed to provide practical, pertinent knowledge on the management of technology, technical professionals, and technical organizations. EMJ strives to provide value to the practice of engineering management and engineering managers. EMJ is an archival journal that facilitates both practitioners and university faculty in publishing useful articles. The primary focus is on articles that improve the practice of engineering management. To support the practice of engineering management, EMJ publishes papers within key engineering management content areas. EMJ Editors will continue to refine these areas to ensure they are aligned with the challenges faced by technical organizations and technical managers.