KLASIFIKASI KOMENTAR BULLY PADA INSTAGRAM MENGGUNAKAN METODE LONG SHORT-TERM MEMORY

AKBARI, M ILMI and Abdiansah, Abdiansah and Satria, Hadipurnawan (2024) KLASIFIKASI KOMENTAR BULLY PADA INSTAGRAM MENGGUNAKAN METODE LONG SHORT-TERM MEMORY. Undergraduate thesis, Sriwijaya University.

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Abstract

Instagram is one of the largest social media platforms globally, enabling users to share photos, videos, and stories with their followers. However, its widespread popularity has also made Instagram a breeding ground for negative behaviors such as bullying. Consequently, there is a need for a tool that can identify bullying comments on the Instagram platform. This study employs the Long Short-Term Memory (LSTM) method, using data derived from comments on various Instagram posts. Utilizing a dataset comprising 650 Instagram comments, the LSTM method achieved an accuracy of 91.02% and an F1-score of 90.25%.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Instagram, 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:	M ILMI AKBARI
Date Deposited:	11 Jul 2024 07:56
Last Modified:	11 Jul 2024 07:56
URI:	http://repository.unsri.ac.id/id/eprint/150432

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