Web Mining To Detect Online Spread Of Terrorism

Main Article Content

SOUSIL KUMAR BEKKAM
N. JAHNAVI
K. GIPSON
G. PALLAVI
J. RACHANA

Abstract

In the recent times, terrorism has grown in an exponential manner in certain  parts of the world. With development in technology, internet has become a medium of  spreading terrorism through Web pages or Websites. Terrorist organizations use the  medium of the internet to harm and defame individuals and also promote terrorist  activities through web pages that force people to join terrorist organizations and commit  crimes on the behalf of those organizations. We are creating a model that detects the  text that influencing the people by the crime data.We can detect by entering  the text from webpage to detect the score of website. Web mining and data mining are  used simultaneously for the purpose of efficient system development. Web mining can  be helpful to scan and extract relevant data from unstructured data. Data mining  algorithms are used to manage organized data sets and web mining algorithms can be  helpful in mining and extracting from unstructured web pages and text data that is  available across the web. Python is used to create the model and SQL.

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How to Cite
BEKKAM, S. K., N. JAHNAVI, K. GIPSON, G. PALLAVI, and J. RACHANA. “Web Mining To Detect Online Spread Of Terrorism”. Technix International Journal for Engineering Research, vol. 9, no. 6, June 2022, pp. 9-14, https://tijer.org/index.php/tijer/article/view/161.
Dimension
Section
Research Articles
Author Biographies

N. JAHNAVI, Teegala Krishna Reddy Engineering College

Department of Computer Science and Engineering

K. GIPSON, Teegala Krishna Reddy Engineering College

Department of Computer Science and Engineering

G. PALLAVI

Department of Computer Science and Engineering

J. RACHANA, Teegala Krishna Reddy Engineering College

Associate Professor

Deprtment of Computer Science

Teegala Krishna Reddy Engineering College

References

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The basic idea of this project is to reduce or stop spreading of terrorism and to remove all these accounts

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