DETECTION AND PREDICTION OF TERRORIST ACTIVITIES AND THREATENING EVENTS IN TWITTER – A SURVEY

Authors

  • Mr K.Jummela, J. Sravani , Manpadi.Priyanka, Vaishanvi.M

Keywords:

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Abstract

Twitter is one of the prominentsocial media applications which influence civilians due to its fastinformation dissemination

References

F. Amato, G. Cozzolino, A. Mazzeo, and S. Romano, “Detecting anomalies in twitter stream for public security issues,” in 2016 IEEE 2nd International Forum on Research and Technologies for Society andIndustry Leveraging a better tomorrow (RTSI), 2016, pp. 1–4.

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Published

2024-01-02

How to Cite

Mr K.Jummela, J. Sravani , Manpadi.Priyanka, Vaishanvi.M. (2024). DETECTION AND PREDICTION OF TERRORIST ACTIVITIES AND THREATENING EVENTS IN TWITTER – A SURVEY. Journal of Computational Analysis and Applications (JoCAAA), 32(1), 820–828. Retrieved from https://www.eudoxuspress.com/index.php/pub/article/view/2690

Issue

Vol. 32 No. 1 (2024): JOCAAA

Section

Articles

License

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.