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Reliability Confirmation Method of User Review Evaluation by Word-of-Mouth Analysis Using Text Mining

机译：基于文本挖掘的口碑分析用户评价评估的可靠性确认方法

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摘要

Due to the spread of the Internet, the behavior when customers purchase products is changing. Previously, when customers purchased products, they requested advice from experts in the store. However, now customers think that reviews on the Internet are more important than expert advice. Therefore, when purchasing a product, customers first confirm the evaluation on the Internet. The product evaluation written by customers on the website is very important information. And this is influencing the customer’s purchase consciousness. For example, if a bad evaluation is written for a product. In that case, many customers will not choose that product. On the other hand, a good evaluation has various positive impacts for the products and company. These impacts are very important both for customers and for companies. In many cases, the product’s evaluation page is composing of the score for the predetermined items and personal comment. However, the difference in the score is very small. And it is hard to say the result correctly evaluated the product. Therefore, in this paper, we propose a method to confirm the reliability of score by comparing the result extracted from score and personal communication using text mining and data on the product evaluation page of the camera that can exchange lens.
机译：由于Internet的普及，客户购买产品的行为正在改变。以前，当客户购买产品时，他们需要商店专家的建议。但是，现在客户认为Internet上的评论比专家建议更重要。因此，客户在购买产品时首先要在Internet上确认评估。客户在网站上撰写的产品评估是非常重要的信息。这会影响客户的购买意识。例如，如果对产品进行了不良评估。在这种情况下，许多客户将不会选择该产品。另一方面，良好的评估会对产品和公司产生各种积极影响。这些影响对客户和公司都非常重要。在许多情况下，产品的评估页由预定商品的得分和个人评论组成。但是，分数的差异很小。很难说结果正确评估了产品。因此，在本文中，我们提出了一种方法，该方法通过比较使用文本挖掘和可交换镜头的相机的产品评估页上的数据从分数和个人通信中提取的结果来比较分数的可靠性。

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