Abstract Identifying and analysing large amounts of online product reviews (OPR) have become a critical challenge for product design due to their valuable and insightful content. Despite the potential of the OPRs, designers cannot benefit from this opportunity because the analysis of the interpretations requires knowledge of different areas. This study proposes a novel framework for designers by utilizing online reviews for product design depending on the real-world OPRs of a sample product in terms of clarity, comparability, and validity. The framework contains five steps – retrieval of customer text, mining text polarity and product aspects by Document-Level Sentiment Analysis (DLSA) and Aspect-Based Sentiment Analysis (ABSA), summarizing and visualizing review candidate patterns by Correspondence Analysis (CA) and discovering and predicting possible causes of candidate patterns by correlation analysis.

中文翻译：

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提取在线产品评论模式和原因：面向设计师的基于新方面/原因的启发式方法

摘要识别和分析大量在线产品评论（OPR）由于其有价值的内容而富有洞察力，已成为产品设计的一项严峻挑战。尽管OPR具有潜力，但设计师无法从此机会中受益，因为对解释的分析需要了解不同领域的知识。这项研究通过使用在线评论进行产品设计，为设计人员提供了一个新颖的框架，该产品评论取决于示例产品在透明度，可比性和有效性方面的实际OPR。该框架包含五个步骤–检索客户文本，通过文档级情感分析（DLSA）和基于方面的情感分析（ABSA）挖掘文本极性和产品方面，