DETEKSI HATE SPEECH DAN ABUSIVE LANGUAGE DALAM KOMENTAR SOSIAL MEDIA X MENGGUNAKAN SUPPORT VECTOR MACHINE

ANDRIANOV, DAFFA NABILLA and Abdiansah, Abdiansah (2025) DETEKSI HATE SPEECH DAN ABUSIVE LANGUAGE DALAM KOMENTAR SOSIAL MEDIA X MENGGUNAKAN SUPPORT VECTOR MACHINE. Undergraduate thesis, Sriwijaya University.

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Abstract

Social media has become an important platform for users to interact, share opinions, and share information. However, it increases the risk of spreading harmful content such as hate speech and abusive language, which harms individuals and the online environment. This research aims to classify hate speech and abusive language using the Support Vector Machine method. The data used in this research is a collection of comments on social media X, through several stages, namely preprocessing, TF-IDF weighting, SVM model training, and model performance evaluation. The data set was tested with various values of parameter C, and the accuracy obtained after being tested with multiple values of parameter C, the model results from 68,0% at C = 0.1 to 75,6% at C = 10. Each metric, including accuracy, precision, recall, and F1 score, reached the optimal value at parameter C = 10, which indicates that a larger value of C can help improve the overall performance of the model.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Hate Speech, Abusive Language, Support Vector Machine, Komentar
Subjects:	Q Science > Q Science (General) > Q334-342 Computer science. Artificial intelligence. Algorithms. Robotics. Automation.
Divisions:	09-Faculty of Computer Science > 55201-Informatics (S1)
Depositing User:	Daffa Nabilla Andrianov
Date Deposited:	07 Jan 2025 02:13
Last Modified:	07 Jan 2025 02:13
URI:	http://repository.unsri.ac.id/id/eprint/162754

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