An early warning detection system of terrorism in indonesia from Twitter contents using naïve bayes algorithm
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...
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| Main Authors: | , , , |
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| Format: | Conference or Workshop Item |
| Language: | English English |
| Published: |
Institute of Electrical and Electronics Engineers Inc.
2020
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| Subjects: | |
| Online Access: | 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 |
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http://umpir.ump.edu.my/id/eprint/42441/1/An%20early%20warning%20detection%20system%20of%20terrorism%20in%20Indonesia.pdfhttp://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