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This paper describes our initial attempt to analyze movie scripts for understanding patterns and narrative flow that can be present in storytelling. We collected movie scripts, processed the data using simple natural language processing and machine learning techniques. The result suggests that analyzing big movie script may reveal patterns related to narrative structure.
In this paper, we assume that a single pedestrian is a single blob, and define the representative properties of blobs to selection between merge and split of blobs. And we collect attribute information of the blob and make decision tree by using the ID3 algorithm. Next, we experimented for dividing the decision tree by directing the status of merge and split, as a result, it is possible to generate...
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