KLASIFIKASI KOMENTAR BULLYING PADA YOUTUBE DENGAN METODE LONG SHORT-TERM MEMORY

BAGUS, ABANG MUHAMMAD and Abdiansah, Abdiansah and Saputra, Danny Matthew (2024) KLASIFIKASI KOMENTAR BULLYING PADA YOUTUBE DENGAN METODE LONG SHORT-TERM MEMORY. Undergraduate thesis, Sriwijaya University.

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Abstract

YouTube is one of the most popular online video-watching platforms on the internet. Bullying on social media, including on the YouTube platform, is a serious issue that can have negative impacts on mental health and individual well-being. This research aims to address this problem by developing a comment classification model using the Long Short-Term Memory method to identify bullying comments on YouTube. The data used were obtained from comments on several YouTube videos, consisting of 400 bullying comments and 400 non-bullying comments. Testing was conducted using 6 experimental scenarios, and the best test results were achieved with the following hyperparameters: a dropout layer value of 0, 128 neurons in the LSTM layer with an LSTM dropout value of 0, a learning rate of 0.001, a batch size of 8, and an epoch of 10. The results yielded an accuracy of 96.84%, precision of 96.84%, recall of 96.84%, and an f1-score of 96.83%.

Item Type: Thesis (Undergraduate)
Uncontrolled Keywords: Youtube, Klasifikasi, Bullying, Long Short-Term Memory
Subjects: T Technology > T Technology (General) > T1-995 Technology (General)
T Technology > T Technology (General) > T57.6-57.97 Operations research. Systems analysis
Divisions: 09-Faculty of Computer Science > 55201-Informatics (S1)
Depositing User: Abang Muhammad Bagus
Date Deposited: 11 Jul 2024 07:55
Last Modified: 11 Jul 2024 07:55
URI: http://repository.unsri.ac.id/id/eprint/150430

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