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http://dx.doi.org/10.9708/jksci.2021.26.10.009

Analyzing Correlations between Movie Characters Based on Deep Learning  

Jin, Kyo Jun (Dept. of Computer Science, Sangmyung University)
Kim, Jong Wook (Dept. of Computer Science, Sangmyung University)
Publication Information
Journal of the Korea Society of Computer and Information / v.26, no.10, 2021 , pp. 9-17 More about this Journal
Abstract
Humans are social animals that have gained information or social interaction through dialogue. In conversation, the mood of the word can change depending on the sensibility of one person to another. Relationships between characters in films are essential for understanding stories and lines between characters, but methods to extract this information from films have not been investigated. Therefore, we need a model that automatically analyzes the relationship aspects in the movie. In this paper, we propose a method to analyze the relationship between characters in the movie by utilizing deep learning techniques to measure the emotion of each character pair. The proposed method first extracts main characters from the movie script and finds the dialogue between the main characters. Then, to analyze the relationship between the main characters, it performs a sentiment analysis, weights them according to the positions of the metabolites in the entire time intervals and gathers their scores. Experimental results with real data sets demonstrate that the proposed scheme is able to effectively measure the emotional relationship between the main characters.
Keywords
natural language processing; sentimental analysis; language style; movie scripts; LIWC;
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