FORECASTING GAME RATINGS THROUGH SENTIMENT ANALYSIS OF YOUTUBE COMMENTS ON THE GTA VI TRAILER 2 USING LSTM NETWORKS

ABDULLAH, M. CHANDRA AGOENG PRAMUDYA (2026) FORECASTING GAME RATINGS THROUGH SENTIMENT ANALYSIS OF YOUTUBE COMMENTS ON THE GTA VI TRAILER 2 USING LSTM NETWORKS. S1 thesis, Universitas Mercu Buana Jakarta.

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Abstract

Social media platforms like YouTube host user content which serves as an invaluable source of public opinions regarding impending releases, especially in the case of highly anticipated titles like Grand Theft Auto VI. This final project proposes a predictive model to estimate the rating of the game based on YouTube comment analysis from the GTA VI Trailer 2, involving a transfer learning process whereby a Bidirectional Long Short-Term Memory (Bi-LSTM) network, bolstered in-circuit with a Self-Attention mechanism, had been trained on the IMDb movie review dataset. The proposed neural network design boasted a 90.53% accuracy level, unearthing an exclusive public temperament about GTA VI, which had a distinctively high neutral response coupled with remarkably little public outcry, especially in comparison to other AAA titles. These results, transformed through a Random Forest regression algorithm, which equated opinions related to the prospect of GTA VI from 20 similar game trailers, estimate the potential rating from the release by IGN to be 9.54/10. This study, therefore, underlines the potential offered by deep learning algorithms regarding early projections about market consequence, especially in major video game titles, through opinions extracted from social networks. Keywords: LSTM, Sentiment Analysis, YouTube Comments, GTA VI, Game Rating Prediction, Deep Learning, Natural Language Processing, Social Media Analysis

Item Type:	Thesis (S1)
NIM/NIDN Creators:	41522010248
Uncontrolled Keywords:	LSTM, Sentiment Analysis, YouTube Comments, GTA VI, Game Rating Prediction, Deep Learning, Natural Language Processing, Social Media Analysis
Subjects:	000 Computer Science, Information and General Works/Ilmu Komputer, Informasi, dan Karya Umum > 000. Computer Science, Information and General Works/Ilmu Komputer, Informasi, dan Karya Umum > 004 Data Processing, Computer Science/Pemrosesan Data, Ilmu Komputer, Teknik Informatika 000 Computer Science, Information and General Works/Ilmu Komputer, Informasi, dan Karya Umum > 000. Computer Science, Information and General Works/Ilmu Komputer, Informasi, dan Karya Umum > 006 Special Computer Methods/Metode Komputer Tertentu > 006.7 Multimedia Systems/Sistem-sistem Multimedia > 006.75 Social Multimedia/Multimedia Social 100 Philosophy and Psychology/Filsafat dan Psikologi > 150 Psychology/Psikologi > 153 Conscious Mental Process and Intelligence/Intelegensia, Kecerdasan Proses Intelektual dan Mental > 153.1 Memory and Learning/Memori dan Pembelajaran > 153.15 Learning/Pembelajaran 500 Natural Science and Mathematics/Ilmu-ilmu Alam dan Matematika > 510 Mathematics/Matematika > 518 Numerical Analysis/Analisis Numerik, Analisa Numerik > 518.1 Algorithms/Algoritma
Divisions:	Fakultas Ilmu Komputer > Informatika
Depositing User:	khalimah
Date Deposited:	03 Feb 2026 01:32
Last Modified:	03 Feb 2026 01:32
URI:	http://repository.mercubuana.ac.id/id/eprint/100809

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