KLASIFIKASI SENTIMEN PADA OPINION CYBERBULLYING DI TWITTER MENGGUNAKAN METODE SUPPORT VECTOR MACHINE DAN NAÏVE BAYES

SORAYA, ATIKA and Abdiansah, Abdiansah and Ermatita, Abdiansah (2023) KLASIFIKASI SENTIMEN PADA OPINION CYBERBULLYING DI TWITTER MENGGUNAKAN METODE SUPPORT VECTOR MACHINE DAN NAÏVE BAYES. Master thesis, Sriwijaya University.

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Abstract

Cyberbullying is one of the actions that violate the ITE Law where the crime is committed on social media applications such as Twitter. This action is difficult to detect if no one is reporting the tweet. Cyberbullying tweet identification aims to classify tweets that contain bullying. Classification is done using Support Vector Machine and Naïve Bayes methods where the method aims to find a comparison of the accuracy values of each method. The system process starts from text preprocessing with the stages of case folding, tokenization, stopword removal, stemming and weighting. The next process is to classify based on bullying and non-bullying data labeling aimed at facilitating the process of finding the accuracy value of dataset classification using the Support Vector Machine and Naïve Bayes methods. The results obtained using the Support Vector Machine method are 82.29% better than the Naïve Bayes method with a yield of 80.84%.

Item Type:	Thesis (Master)
Uncontrolled Keywords:	Cyberbullying, naïve bayes, Support Vector Machine
Subjects:	T Technology > T Technology (General) > T1-995 Technology (General)
Divisions:	09-Faculty of Computer Science > 55101-Informatics (S2)
Depositing User:	Atika Soraya
Date Deposited:	01 Mar 2023 04:54
Last Modified:	01 Mar 2023 04:54
URI:	http://repository.unsri.ac.id/id/eprint/90090

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