An early warning detection system of terrorism in indonesia from Twitter contents using naïve bayes algorithm

• Main Authors: Aryuni, Mediana, Miranda, Eka, Fernando, Yudi, Kibtiah, Tia Mariatul
• 格式: Conference or Workshop Item
• 語言: English; English
• 出版: Institute of Electrical and Electronics Engineers Inc. 2020
• 主題: HD28 Management. Industrial Management; T Technology (General)
• 在線閱讀: http://umpir.ump.edu.my/id/eprint/42441/1/An%20early%20warning%20detection%20system%20of%20terrorism%20in%20Indonesia.pdf; http://umpir.ump.edu.my/id/eprint/42441/2/An%20early%20warning%20detection%20system%20of%20terrorism%20in%20Indonesia%20from%20Twitter%20contents%20using%20na%C3%AFve%20bayes%20Algorithm_ABS.pdf; http://umpir.ump.edu.my/id/eprint/42441/; https://doi.org/10.1109/ICIMTech50083.2020.9211261

Aware on the benefits of social media as the networking platform, the extremist organization is utilized social media to spread the ideology, recruit new member and guided a suicide bomber alike. There are opportunities to analyze the content of document texts in social media including the terrorism...