Extracting Impression from the Low-Rated Statements Posted at EC Sites

The widespread of the Internet has realized the electronic commerce (EC) that enables us to make purchases online and is used by a lot of people throughout the world. However, with the increasing numbers of users and products, the mismatch between users and products are getting prominent. In order to avoid such troubles, on EC sites, users can post a review on the commodity they bought. Then other users can grade the review as helpful. These functions help users refer to the review of the item and consider whether to buy it. Here, there could be a method to solve more mismatches between users and products by using the impression from the statements of those reviews. Therefore, in this paper, with the aim of preliminary experiment, we try to experimentally extract the impression from the review contents. We conduct impression evaluation experiment on assessing twenty low-rated reviews using impression words. As a result of factors analysis applied to the experimental results, three factors representing the style or content of the statements are obtained. This result could imply more useful outcomes with future additional experiments.