Analisis Sentimen Cyberbullying pada Sosial Media Instagram Menggunakan Metode Support Vector Machine

• DAMAR NUGRAHA

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ABSTRAK

ABSTRACT

Damar Nugraha (12190281), Analysis of Cyberbullying Sentiment on Instagram Social Media Using the Support Vector Machine Method ”.

Social media includes a digital platform that allows users to interact, exchange information, and create content that other users can access and share via the internet. Social media users can connect with people around the world and build social networks online. Many well-known social media such as Facebook, Instagram, Twitter, LinkedIn, TikTok and YouTube. Today, social media has many effects on the way we live and do business today, and is widely used for purposes such as communication, promotion, marketing, and entertainment. Instagram users can criticize photos or videos that people post in the comments section. Comments made in the form of sentences are used as input and output are used in the form of identification sentences that contain cyberbullying and non-cyberbullying Instagram is a social media platform that allows users to share short videos and photos with their followers both publicly and privately. Instagram allows users to expand their social network by following other people's accounts and also allows users to interact with uploaded content through various options such as "like", "comment", "repost", and so on. The Support Vector Machine algorithm can be used to analyze online bullying sentiments in Instagram comments. The classification results are in the form of positive and negative classes, divided into positive feelings about cyberbullying and negative feelings about cyberbullying. The use of 400 datasets to conduct training and form a classification model resulted in an accuracy of 84.25%, a precision of 80.22%, a Recall of 92.50% and an AUC value of 0.928.

KATA KUNCI

Social Media,Support Vector Machine Algorithm

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DAFTAR PUSTAKA

DAFTAR PUSTAKA

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