This paper is published in Volume-6, Issue-4, 2020
Area
COMPUTER SCIENCE ENGINEERING
Author
Ashwin Nair, Shashank T. V., Rakesh S.
Org/Univ
Sai Vidya Institute of Technology, Rajanukunte, Karnataka, India
Keywords
EU (European Union), NLP (Natural Language Processing)
Citations
IEEE
Ashwin Nair, Shashank T. V., Rakesh S.. Suspicious and Terror Message Detection Using NLP and Web Minning, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.
APA
Ashwin Nair, Shashank T. V., Rakesh S. (2020). Suspicious and Terror Message Detection Using NLP and Web Minning. International Journal of Advance Research, Ideas and Innovations in Technology, 6(4) www.IJARIIT.com.
MLA
Ashwin Nair, Shashank T. V., Rakesh S.. "Suspicious and Terror Message Detection Using NLP and Web Minning." International Journal of Advance Research, Ideas and Innovations in Technology 6.4 (2020). www.IJARIIT.com.
Ashwin Nair, Shashank T. V., Rakesh S.. Suspicious and Terror Message Detection Using NLP and Web Minning, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.
APA
Ashwin Nair, Shashank T. V., Rakesh S. (2020). Suspicious and Terror Message Detection Using NLP and Web Minning. International Journal of Advance Research, Ideas and Innovations in Technology, 6(4) www.IJARIIT.com.
MLA
Ashwin Nair, Shashank T. V., Rakesh S.. "Suspicious and Terror Message Detection Using NLP and Web Minning." International Journal of Advance Research, Ideas and Innovations in Technology 6.4 (2020). www.IJARIIT.com.
Abstract
Terrorism has increased its roots quite deep in certain parts of the world as identified internet is a major source of spreading terrorism through speeches and videos. Terrorist organizations use the internet to brainwash individuals .so here to detect this we use our system which works on the principle of web mining, natural language processing(NLP) and supervised learning algorithm to analyze textual data of different web pages and detect patterns, keywords and relevant information in unstructured texts in web pages and messages and after detection taking appropriate action against the web page.