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

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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%.

Availability
Inventory Code Barcode Call Number Location Status
2407004187T150432T1504322024Central Library (Reference)Available but not for loan - Not for Loan
Detail Information
Series Title
-
Call Number
T1504322024
Publisher
Indralaya : Prodi Teknik Informatika, Fakultas Ilmu Komputer Universitas Sriwijaya.,
Collation
xv, V-10 hlm.; ilus.; 29 cm
Language
Indonesia
ISBN/ISSN
-
Classification
006.307
Content Type
Text
Media Type
unmediated
Carrier Type
-
Edition
-
Subject(s)
Bullying
Prodi Teknik Informatika
Specific Detail Info
-
Statement of Responsibility
Other version/related
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