Analysis of High-value Reviews based on Sentiment

Abstract

When people use online shopping, they often refer reviews which are written about the products. They can understand the product more deeply by reading the reviews. The review has a star rating that shows what other people think about the product. The star rating is not always appropriate for the evaluation of the product. There are so many reviews and it is difficult to find the review that affects the users' willingness to buy. We call such review "high-value review". Our proposed high-value review does not depend on the number of star ratings. The high-value review is that people find useful information when they read the review and they think it is a good review. In this paper, we investigate the relation between high-value reviews and their sentiment of clause based on four hypotheses. Our analyzing sentiment is three-axis which are positive/negative/neutral. Finally, we extract the characteristics of high-value reviews from the results of our investigate.