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

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.