@article{ART002768379},
author={Kyo Jun Jin and Kim Jong Wook},
title={Analyzing Correlations between Movie Characters Based on Deep Learning},
journal={Journal of The Korea Society of Computer and Information},
issn={1598-849X},
year={2021},
volume={26},
number={10},
pages={9-17},
doi={10.9708/jksci.2021.26.10.009}
TY - JOUR
AU - Kyo Jun Jin
AU - Kim Jong Wook
TI - Analyzing Correlations between Movie Characters Based on Deep Learning
JO - Journal of The Korea Society of Computer and Information
PY - 2021
VL - 26
IS - 10
PB - The Korean Society Of Computer And Information
SP - 9
EP - 17
SN - 1598-849X
AB - 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.
KW - natural language processing;sentimental analysis;language style;movie scripts;LIWC
DO - 10.9708/jksci.2021.26.10.009
ER -
Kyo Jun Jin and Kim Jong Wook. (2021). Analyzing Correlations between Movie Characters Based on Deep Learning. Journal of The Korea Society of Computer and Information, 26(10), 9-17.
Kyo Jun Jin and Kim Jong Wook. 2021, "Analyzing Correlations between Movie Characters Based on Deep Learning", Journal of The Korea Society of Computer and Information, vol.26, no.10 pp.9-17. Available from: doi:10.9708/jksci.2021.26.10.009
Kyo Jun Jin, Kim Jong Wook "Analyzing Correlations between Movie Characters Based on Deep Learning" Journal of The Korea Society of Computer and Information 26.10 pp.9-17 (2021) : 9.
Kyo Jun Jin, Kim Jong Wook. Analyzing Correlations between Movie Characters Based on Deep Learning. 2021; 26(10), 9-17. Available from: doi:10.9708/jksci.2021.26.10.009
Kyo Jun Jin and Kim Jong Wook. "Analyzing Correlations between Movie Characters Based on Deep Learning" Journal of The Korea Society of Computer and Information 26, no.10 (2021) : 9-17.doi: 10.9708/jksci.2021.26.10.009
Kyo Jun Jin; Kim Jong Wook. Analyzing Correlations between Movie Characters Based on Deep Learning. Journal of The Korea Society of Computer and Information, 26(10), 9-17. doi: 10.9708/jksci.2021.26.10.009
Kyo Jun Jin; Kim Jong Wook. Analyzing Correlations between Movie Characters Based on Deep Learning. Journal of The Korea Society of Computer and Information. 2021; 26(10) 9-17. doi: 10.9708/jksci.2021.26.10.009
Kyo Jun Jin, Kim Jong Wook. Analyzing Correlations between Movie Characters Based on Deep Learning. 2021; 26(10), 9-17. Available from: doi:10.9708/jksci.2021.26.10.009
Kyo Jun Jin and Kim Jong Wook. "Analyzing Correlations between Movie Characters Based on Deep Learning" Journal of The Korea Society of Computer and Information 26, no.10 (2021) : 9-17.doi: 10.9708/jksci.2021.26.10.009
