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Mining E-commerce feedback comments for trust evaluation

机译：采矿电子商务反馈评论以获取信任评估

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摘要

Buyers express their opinions openly in free text feedback comments. The users are attracted to online-shopping not only due to the convenience in accessing the information of items on-sold, but also the availability of the other buyer's feedback on their purchasing experience, item-related and/or seller-related. The Mining E-Commerce feedback comments for trust evaluation System proposes a novel technique that uses a multi-dimensional trust evaluation model, for computing comprehensive trust scores for sellers in e-commerce applications. The system computes dimension trust scores and the dimension weights. It automatically extracting dimension ratings from feedback comments and by combining natural language processing with opinion mining and summarization techniques in trust evaluation to improve the accuracy for mining process.
机译：买家在免费的文本反馈意见中公开表达他们的意见。用户不仅被吸引到在线购物，而不仅仅是由于访问销售的物品信息，而且还有其他买方对其采购经验的反馈，与其相关和/或卖方相关的信息的可用性。信托评估系统的采矿电子商务反馈意见提出了一种新颖的技术，该技术采用多维信任评估模型，用于计算电子商务应用中卖方的全面信任分数。系统计算维度信任分数和尺寸权重。它自动从反馈评论中提取尺寸额定值，并通过将自然语言处理与信任评估中的意见挖掘和摘要技术相结合，提高采矿过程的准确性。

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