Web Mining To Detect Online Spread Of Terrorism

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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.
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


Department of Computer Science and Engineering

J. RACHANA, Teegala Krishna Reddy Engineering College

Associate Professor

Deprtment of Computer Science

Teegala Krishna Reddy Engineering College


Aakash Negandhi, Soham Gawas, Prem Bhatt , Priya Porwal Detect Online Spread of Terrorism Using Data Mining.IOSR Journal of Engineering Volume 13,17 April 2019. So here they propose an efficient web data mining system to detect such web properties and flag them automatically for human review. Keywords: Anti-Terrorism, Data Mining, Online, Terrorism,World

Avishag Gordon The spread of terrorism publications: A database analysis,Terrorism and Political Violence journal publishedin Dec 2007.This research note focuses on the spread of terrorism publications from 1988 to 1995 compared to their frequency of appearance from 1996 to 1998. It also identifies the core journals of this research field.

A.Sai Hanuman, G.Charles Babu , P.Vara Prasad Rao, P.S.V.Srinivasa Rao ,B.Sankara Babu A Schematic Approach on Web Data Mining In Online Spread Detection of Terrorism,International Journal of Recent Technology and Engineering Volume-8, Issue-1, May 2019.So here they have propose a compelling web data mining structure to recognize such web properties and standard them thusly for human review. Index Terms: web data mining, terrorism, web structure mining, dread monger affiliations.

Counter Terrorism on Online Social Networks Using Web Mining Techniques Fawad Ali, Farhan Hassan Khan, Saba Bashir, and Uzair Ahmad, Department of Computer Science, Federal Urdu University of Arts, Science and Technology (FUUAST), Islamabad, Pakistan.In this paper some major web mining techniques have been discussed which can be helpful to identify such people and terrorism may be countered from OSN. Each technique is discussed thoroughly, and effectiveness along with its pros and cons are also presented.

Chen, H.. "entiment Analysis in Multiple Languages: Feature Selection for Opinion Classification in Web Forums." ACM Transactions on Information Systems, forthcoming,June 2008.In this study the use of sentiment analysis methodologies is proposed for classification of Web forum opinions in multiple languages. The utility of stylistic and syntactic features is evaluated for sentiment classification of English and Arabic content.

J. Kiruba, P. Sumitha, K. Monisha, S. Vaishnavi Enhanced Content Detection Method to Detect Online Spread of Terrorism,International Journal of Engineering and Advanced Technology Volume-8, Issue-6S3, September 2019.They proposed a system delivery event notification which is used to monitor the activities and delivers notification according to the investigation knowledge. Alert reporting system is developed that takes earthquakes from websites and a message is sent the registered user.

Michael Grenieri, Anthony Estrada Down Converter Characterization in a Synthetic Instrument Context 2006 IEEE Autotestcon.This paper provides an overview of the need for a common set of specification parameters to characterize a down converter in a synthetic instrument (SI).The paper then provides an in-depth technical discussion of two of the less understood down converter related intermediate frequency (IF) output parameters: group delay and phase linearity.

Naseema Begum Detection of online spread of terrorism using web data mining A. Institute of Engineering and Technology, Coimbatore, Tamil Nadu, International Journal of Advance Research, Ideas and Innovations in Technology- Volume 5, Issue

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

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