Abstract
Recently, the sites such as Web user reviews and web logs which users can write private ideas and opinions on internet are growing. However, it is very difficult for us to read whole reviews internet. This study tries to develop review analysis system which shows evaluation information for products using HK Graph which can visualize the relationship among words with hierarchical network structure based on the co-occurrence information for the keyword graph. This paper proposes the extraction method of evaluation keywords from reviews on internet. This paper also proposes the visualization method to analyze time-series variation of Web user reviews based on the similarity of extracted evaluation keywords.
