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首页> 外文会议>Computers and information in engineering conference >AUTOMATED MAPPING OF PRODUCT FEATURES MINED FROM ONLINE CUSTOMER REVIEWS TO ENGINEERING PRODUCT CHARACTERISTICS
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AUTOMATED MAPPING OF PRODUCT FEATURES MINED FROM ONLINE CUSTOMER REVIEWS TO ENGINEERING PRODUCT CHARACTERISTICS

机译：自动映射产品的特点，从在线客户评论中开采到工程产品特征

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摘要

Until now, translating product features expressed in the market into quantifiable engineering metrics has primarily been a manual process. This manual process establishes product features from large-scale customer feedback using a product's components from large-scale design specifications. This process exacerbates the complexity and sheer amount of information that designers must handle during the early stages of new product development. The methodology proposed in this paper automatically identifies product features by mapping terms that describe product features from technical descriptions and customer reviews. In order to discover terms related to the features expressed in the market, the authors of this work employ WordNet and the PageRank algorithm, which search for semantically similar terms in products' technical descriptions. A case study demonstrates the methodology's viability for matching product features that are extracted from online customer reviews to the technical descriptions that address them.
机译：到目前为止，将市场中表达的产品特征转化为可量化的工程指标主要是手动过程。本手动过程使用大型设计规格的产品组件建立了大型客户反馈的产品特征。该过程加剧了设计人员在新产品开发的早期阶段必须处理的复杂性和纯粹的信息量。本文提出的方法通过映射描述产品特征的绘制术语来自动识别产品特征，这些条款来自技术描述和客户评论。为了发现与市场上表达的功能相关的术语，这项工作的作者采用WordNet和PageRank算法，搜索产品技术描述中的语义类似的术语。案例研究展示了用于匹配从在线客户审查中提取的产品功能的方法的可行性，以解决解决它们的技术描述。

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