Movies emotional analysis using textual contents

Kayhani, AK; Meziane, F; Chiky, R

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.

Citation

Kayhani, A., Meziane, F., & Chiky, R. (2020, June). Movies emotional analysis using textual contents. Presented at 25th International Conference on Applications of Natural Language to Information Systems, NLDB 2020, Saarbrücken, Germany

• Presentation Conference Type: Other
• Conference Name: 25th International Conference on Applications of Natural Language to Information Systems, NLDB 2020
• Conference Location: Saarbrücken, Germany
• Start Date: Jun 24, 2020
• End Date: Jun 26, 2020
• Acceptance Date: Apr 2, 2020
• Online Publication Date: Jun 17, 2020
• Publication Date: Jun 25, 2020
• Deposit Date: Jul 6, 2020
• Publicly Available Date: Jun 17, 2021
• Series Title: Lecture Notes in Computer Science
• Series Number: 12089
• Book 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
• ISBN: 9783030513092-(print);-9783030513108-(online)
• DOI: https://doi.org/10.1007/978-3-030-51310-8_19
• Publisher URL: https://doi.org/10.1007/978-3-030-51310-8_19
• Related Public URLs: https://doi.org/10.1007/978-3-030-51310-8
• Additional Information: Event Type : Conference