Cyberbullying Detection In Twitter Using Sentiment Analysis

• Main Authors: Chong, Poh Theng, Othman, Nur Fadzilah, Abdullah, Raihana Syahirah, Anawar, Syarulnaziah, Ayop, Zakiah, Ramli, Sofia Najwa
• Format: Article
• Language: English
• Published: IJCSNS 2021
• Online Access: http://eprints.utem.edu.my/id/eprint/25752/2/2.3.1%20CYBERBULLYING%20DETECTION%20IN%20TWITTER%20USING%20SENTIMENT%20ANALYSIS%20IJCSNS.PDF; http://eprints.utem.edu.my/id/eprint/25752/; http://paper.ijcsns.org/07_book/202111/20211101.pdf; https://doi.org/10.22937/IJCSNS.2021.21.11.1
• Institution: Universiti Teknikal Malaysia Melaka

Cyberbullying has become a severe issue and brought a powerful impact on the cyber world. Due to the low cost and fast spreading of news, social media has become a tool that helps spread insult, offensive, and hate messages or opinions in a community. Detecting cyberbullying from social media is an...