Enhanced Content Detection Method to Detect Online Spread of Terrorism
J. Kiruba1, P. Sumitha2, K. Monisha3, S. Vaishnavi4
1J. Kiruba, Assistant Professor, Karpagam College of Engineering, Coimbatore (Tamil Nadu), India.
2P. Sumitha, Student, Karpagam College of Engineering, Coimbatore (Tamil Nadu), India.
3K. Monisha, Student, Karpagam College of Engineering, Coimbatore (Tamil Nadu), India.
4S.Vaishnavi, Student, Karpagam College of Engineering, Coimbatore (Tamil Nadu), India.
Manuscript received on 28 September 2019 | Revised Manuscript received on 10 November 2019 | Manuscript Published on 22 November 2019 | PP: 1166-1169 | Volume-8 Issue-6S3 September 2019 | Retrieval Number: F11950986S319/19©BEIESP | DOI: 10.35940/ijeat.F1195.0986S319
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Terrorist growth reached to certain part of the world. Terrorist groups have spread their information on social network like facebook, whatsapp, messages. Before spreading the terrorism activities ,we need to change and abort it. The basic idea is to stop or reduce spreading of terrorism is to remove all this accounts. Web is a noteworthy wellspring of spreading psychological warfare by discourse, content, sound arrangement. Terrorists use internet to persuade individuals and it paves the way to involve in terrorist activities through provocative webpage that inspires individuals to involve in terrorist groups and organization. To execute this thought we need a great deal of human exertion to gather the data and discover the fear monger gatherings. To reduce the human effort, we implement the system which detects terrorist groups in social media. To implement this idea we are in need of a lot of human effort to gather the information and find out the terrorist groups who are involved in. Thus we implement this system for major causes which detects terrorist groups in internet and social media. It paves the way to reduce the human effort.
Keywords: Method Online Enhanced webpage Social Network.
Scope of the Article: Artificial Intelligent Methods, Models, Techniques