Measuring character-based story similarity by analyzing movie scripts

The goal of this paper is to measure similarity among the stories for categorizing movies. Although genres are well-performing as movies’ categories, users have difficulty for predicting substances of the movies through the genres. Therefore, we proposed the story-based taxonomy of the movies and a method for constructing it automatically. In order to reflect characteristics of the stories, we used two kinds of features: (i) proximity among movie characters and (ii) genres of the movies. Based on the features, we constructed the story-based taxonomy by clustering the movies. We anticipate that the proposed taxonomy could make the users imagine and predict substances of movies through comprehending which movies contain similar stories.