Abstract
Recently, the number of the web sites such as Web user reviews and web logs where users can express their private ideas and opinions is increasing. However, it is very difficult to read whole the reviews on the internet. The conventional systems for analysis of reviews can extract evaluation information, but they are not enough to analyze time-series variation of them. This study tries to develop a review analysis system which shows the relationship among user reviews by MDS and shows evaluation information for products using HK Graph which can visualize the relationship between words with hierarchical network structure based on the co-occurrence information for the keyword graph. This paper proposes the visualization method to analyze time-series variation of Web user reviews based on the similarity of extracted evaluation keywords.
