Abstract
In order to examine central concepts and their relationships within review texts, central concepts and their structures for each text genre are extracted and compared. The analyzed data consists totally of reviews for "Web Magazine of Books" (960 review articles covering approximately 5,521 books). The characteristic vocabularies of each genre are extracted according to frequency differences with the total texts and the genre texts. Based on co-occurrence frequencies, the main vocabularies are visualized as a network.