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2024 47th International Conference on Telecommunications and Signal Processing (TSP)

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Anticipate Movie Theme from Subtitle: A Deep Learning Approach

In the age of big data, prediction is crucial to making accurate assumptions about connected data. People must use other relevant data to determine the proper data relationships from different sources. One area where movies may be predicted and categorized using subtitles is the movie genre. Various data models are used in other movie prediction methods to address the issue. This study uses deep learning techniques to infer the movie genre from subtitle data. The OpenSubtitle and IMDb websites provided the dataset for the study. This collection includes XML-formatted subtitle files for various films/series and related film genres. Each subtitle was turned into a 100,000-dimensional vector as part of the preprocessing of the subtitle files. The 5-fold cross-validation methodology was used in this study to evaluate the deep learning-LSTM model, and the results were quantified and presented using various techniques. The accuracy rating for the proposed model was 93.97%.

Yehia Ibrahim Alzoubi
American University of the Middle East
Kuwait

Ahmet Ercan Topcu
American University of the Middle East
Kuwait

Ersin Elbasi
American University of the Middle East
Kuwait

Mucahit Buyukyilmaz
Ankara Yildirim Beyazit University
Turkey

Ali Osman Cibikdiken
KTO Karatay University
Turkey

 

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