Movies emotional analysis using textual contents

Kayhani, AK, Meziane, F ORCID: https://orcid.org/0000-0001-9811-6914 and Chiky, R 2020, Movies emotional analysis using textual contents , in: 25th International Conference on Applications of Natural Language to Information Systems, NLDB 2020, 24-26 June 2020, Saarbrücken, Germany.

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Abstract

In this paper, we use movies and series subtitles and applied text mining and Natural Language Processing methods to evaluate emotions in videos. Three different word lexicons were used and one of the outcomes of this research is the generation of a secondary dataset with more than 3658 records which can be used for other data analysis and data mining research. We used our secondary dataset to find and display correlations between different emotions on the videos and the correlation between emotions on the movies and users’ scores on IMDb using the Pearson correlation method and found some statistically significant correlations.

Item Type: Conference or Workshop Item (Paper)
Schools: Schools > School of Computing, Science and Engineering > Salford Innovation Research Centre
Journal or Publication Title: Natural Language Processing and Information Systems 25th International Conference on Applications of Natural Language to Information Systems, NLDB 2020, Saarbrücken, Germany, June 24–26, 2020, Proceedings
Publisher: Springer
Series Name: Lecture Notes in Computer Science
ISBN: 9783030513092 (print); 9783030513108 (online)
ISSN: 0302-9743
Related URLs:
Depositing User: Prof Farid Meziane
Date Deposited: 06 Jul 2020 12:09
Last Modified: 06 Jul 2020 13:59
URI: http://usir.salford.ac.uk/id/eprint/57503

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