ABSTRACT 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.

中文翻译：

---

支持从在线客户评论中构建情感产品分类法：一种情感语义方法

摘要 今天的消费者不仅考虑产品的功能性和可靠性，还关心产品的情感方面以满足他们的情感需求。具有良好情感设计的产品可以激发消费者的心理感受，提高消费者的满意度。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。传统方法严重依赖人工调查，成本高昂，情感设计知识难以共享和更新。需要开发一种有效的方法来构建公共知识表示。在本文中，我们提出了一种基于在线消费者评论自动构建情感产品分类的情感语义方法。我们结合情感工程和语义分析，从在线产品信息中提取产品特征和情感属性。我们通过根据含义关联提取的产品特征和情感属性来构建分类法。为了评估该方法的有效性，使用公共可用数据进行了实验。结果表明，该方法能够有效地识别和测量情感信息。它可以帮助形成对重用和扩展设计领域的共同理解。它还可以帮助产品设计师根据情感方面和消费者的观点来审查现有产品。为了评估该方法的有效性，使用公共可用数据进行了实验。结果表明，该方法能够有效地识别和测量情感信息。它可以帮助形成对重用和扩展设计领域的共同理解。它还可以帮助产品设计师根据情感方面和消费者的观点来审查现有产品。为了评估该方法的有效性，使用公共可用数据进行了实验。结果表明，该方法能够有效地识别和测量情感信息。它可以帮助形成对重用和扩展设计领域的共同理解。它还可以帮助产品设计师根据情感方面和消费者的观点来审查现有产品。