Developing an Integrated Model Based on Natural Language Processing (NLP) to Analyse User Text Mining for Prevention and Control of Terrorism Activities

Prithvi Singh Lamba

Vol. 9, Jan-Jun 2020

Abstract:

To locate a successful method to Analysing User text for terrorism activity using NLP in Social Media ahead of time and forestall the massive devastation of life and property. A review has been made to comprehend the conduct of individuals utilizing informal communication. Long-range informal communication has seen massive development for over ten years and famous among individuals. Along these lines, thinking about this, it targets building up a checking framework which consistently screens client movement in the informal organization to locate any dubious action concerning psychological oppression. We deal with continuous dataset got from Gmail and Twitter. These informal organizations are persistently observed for client conduct. Given the limit of psychological oppression related information, the client conduct would be named ordinary, minimal dubious and hostile. It considers a solitary sign-on of the client into the informal community. It has considered client movement in two informal communities to get exact information. Current works are examining client opinions, mockery, mental impacts, political, master counsel, and suggestions on client evaluations.

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