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Supporting the construction of affective product taxonomies from online customer reviews: an affective-semantic approach

机译：支持来自在线客户评论的情感产品分类管理的建设：一种情感语义方法

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摘要

Consumers today not only consider the functionality and reliability of products, but also concern with affective aspects of products to meet their emotional needs. Products with good affective design can excite consumers' psychological feelings and enhance consumer satisfaction. Affective engineering aims to discover relationships between product features and affective preferences for affective design. Traditional methods rely heavily on manual surveys, which are costly, and the affective design knowledge is difficult to share and update. There is a need to develop an efficient way to build a common knowledge representation. In this paper, we propose an affective-semantic approach to automatically construct affective product taxonomy based on online consumer reviews. We incorporate affective engineering and semantic analysis to extract product features and affective attributes from online product information. We construct taxonomy by relating the extracted product features and affective attributes based on their meaning. To evaluate the effectiveness of the approach, experiments have been conducted using public available data. The results showed that the approach can effectively identify and measure affective information. It could help develop a common understanding of the design domain for reuse and expansion. It could also assist product designers review existing products based on affective aspects and consumer perspectives.
机译：消费者今天不仅考虑产品的功能和可靠性，还关注产品的情感方面，以满足他们的情绪需求。情感设计良好的产品可以激发消费者的心理感受，提高消费者满意度。情感工程旨在发现产品特征与情感设计的情感偏好之间的关系。传统方法严重依赖于手动调查，这是昂贵的，并且情感设计知识难以分享和更新。有必要开发一个有效的方式来构建共同的知识表示。在本文中，我们提出了一种情感语义方法，以根据在线消费者评论自动构建情感产品分类。我们纳入了情感工程和语义分析，以从在线产品信息中提取产品特征和情感属性。我们通过基于其含义与提取的产品特征和情感属性联系来构建分类学。为了评估方法的有效性，使用公共可用数据进行实验。结果表明，该方法可以有效地识别和测量情感信息。它可以帮助开发对设计域的共同理解以进行重用和扩展。它还可以帮助产品设计人员根据情感方面和消费者观点审查现有产品。

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  • 来源
    《Journal of Engineering Design》 |2019年第12期|共32页
  • 作者

    Wang W. M.; Tian Z. G.; Li Z.; Wang J. W.; Barenji Ali Vatankhah; Cheng M. N.;

  • 作者单位

    Guangdong Univ Technol Sch Electomech Engn Guangdong Prov Key Lab Comp Integrated Mfg Syst Guangzhou Guangdong Peoples R China;

    Guangdong Univ Technol Sch Electomech Engn Guangdong Prov Key Lab Comp Integrated Mfg Syst Guangzhou Guangdong Peoples R China;

    Guangdong Univ Technol Sch Electomech Engn Guangdong Prov Key Lab Comp Integrated Mfg Syst Guangzhou Guangdong Peoples R China;

    Guangdong Univ Technol Sch Electomech Engn Guangdong Prov Key Lab Comp Integrated Mfg Syst Guangzhou Guangdong Peoples R China;

    Guangdong Univ Technol Sch Electomech Engn Guangdong Prov Key Lab Comp Integrated Mfg Syst Guangzhou Guangdong Peoples R China;

    Hong Kong Polytech Univ Knowledge Management &

    Innovat Res Ctr Dept Ind &

    Syst Engn Hong Kong Peoples R China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 工程设计;
  • 关键词

    Semantic analysis; Kansei engineering; affective product taxonomy; opinion mining; affective design;

    机译：语义分析;Kansei Engineering;情感产品分类;意见采矿;情感设计;

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