Although reputation analyses have been developed utilizing NLP technology, such studies have focused on
web texts. Critiques with the humanities have not been regarded as primary targets for such analyses. The
purpose of this study is to establish a basis for the deep semantic analysis of critiques. Movie and theater critiques,
which are complete pieces of artistic output, were targeted, and all names, both for individuals and works, were
extracted for analysis. As a result, the influence of certain individuals, the trends of certain factions and
relationships to other genreswere revealed through frequency and network analyses. Moreover, the semantic and
functional characteristics of pronouns within the critiques were extracted by using a database of personnel.