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Title: :  Terrorist Activities Detection via Social Media Using Machine Learning
PaperId: :  21943
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 9 Issue 6 2023
DUI:    16.0415/IJARIIE-21943
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Gade Priti MachhindraHSBPVT's Faculty of Engineering
Shinare Sakshi SampatHSBPVT's Faculty of Engineering
Jadhav Mrunal RamdasHSBPVT's Faculty of Engineering
Todmal Rutuja AshokHSBPVT's Faculty of Engineering
Prof. Hiranwale S.BHSBPVT's Faculty of Engineering

Abstract

Computer Engineering
psychological pressure, text mining, sentiment analysis, social media, machine learning.
Social media is to be considered as the richest source of human-generated text input. Internet users' opinions, feedback, and criticisms are a reflection of their attitudes and feelings towards many subjects and concerns. Any group of people would not be able to read such a massive amount of material. Social media has thus developed into a crucial instrument for disseminating their ideas and persuading or luring individuals, in general, to participate in their terrorist actions. The most popular and convenient method for quickly reaching a large number of people is Social media. The construction of a system that can automatically identify tweets that promote terrorism using real-time analytics and the Apache Spark machine learning framework was the main emphasis of this paper. The proposed approach attempts to increase accuracy while being fully dependent on training data. By preventing the terrorist accounts from Social media, the public will be protected from their propaganda and fear-mongering.

Citations

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IJARIIE Gade Priti Machhindra, Shinare Sakshi Sampat, Jadhav Mrunal Ramdas, Todmal Rutuja Ashok, and Prof. Hiranwale S.B. "Terrorist Activities Detection via Social Media Using Machine Learning" International Journal Of Advance Research And Innovative Ideas In Education Volume 9 Issue 6 2023 Page 230-233
MLA Gade Priti Machhindra, Shinare Sakshi Sampat, Jadhav Mrunal Ramdas, Todmal Rutuja Ashok, and Prof. Hiranwale S.B. "Terrorist Activities Detection via Social Media Using Machine Learning." International Journal Of Advance Research And Innovative Ideas In Education 9.6(2023) : 230-233.
APA Gade Priti Machhindra, Shinare Sakshi Sampat, Jadhav Mrunal Ramdas, Todmal Rutuja Ashok, & Prof. Hiranwale S.B. (2023). Terrorist Activities Detection via Social Media Using Machine Learning. International Journal Of Advance Research And Innovative Ideas In Education, 9(6), 230-233.
Chicago Gade Priti Machhindra, Shinare Sakshi Sampat, Jadhav Mrunal Ramdas, Todmal Rutuja Ashok, and Prof. Hiranwale S.B. "Terrorist Activities Detection via Social Media Using Machine Learning." International Journal Of Advance Research And Innovative Ideas In Education 9, no. 6 (2023) : 230-233.
Oxford Gade Priti Machhindra, Shinare Sakshi Sampat, Jadhav Mrunal Ramdas, Todmal Rutuja Ashok, and Prof. Hiranwale S.B. 'Terrorist Activities Detection via Social Media Using Machine Learning', International Journal Of Advance Research And Innovative Ideas In Education, vol. 9, no. 6, 2023, p. 230-233. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/Terrorist_Activities_Detection_via_Social_Media_Using_Machine_Learning_ijariie21943.pdf (Accessed : ).
Harvard Gade Priti Machhindra, Shinare Sakshi Sampat, Jadhav Mrunal Ramdas, Todmal Rutuja Ashok, and Prof. Hiranwale S.B. (2023) 'Terrorist Activities Detection via Social Media Using Machine Learning', International Journal Of Advance Research And Innovative Ideas In Education, 9(6), pp. 230-233IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/Terrorist_Activities_Detection_via_Social_Media_Using_Machine_Learning_ijariie21943.pdf (Accessed : )
IEEE Gade Priti Machhindra, Shinare Sakshi Sampat, Jadhav Mrunal Ramdas, Todmal Rutuja Ashok, and Prof. Hiranwale S.B, "Terrorist Activities Detection via Social Media Using Machine Learning," International Journal Of Advance Research And Innovative Ideas In Education, vol. 9, no. 6, pp. 230-233, Nov-Dec 2023. [Online]. Available: https://ijariie.com/AdminUploadPdf/Terrorist_Activities_Detection_via_Social_Media_Using_Machine_Learning_ijariie21943.pdf [Accessed : ].
Turabian Gade Priti Machhindra, Shinare Sakshi Sampat, Jadhav Mrunal Ramdas, Todmal Rutuja Ashok, and Prof. Hiranwale S.B. "Terrorist Activities Detection via Social Media Using Machine Learning." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 9 number 6 ().
Vancouver Gade Priti Machhindra, Shinare Sakshi Sampat, Jadhav Mrunal Ramdas, Todmal Rutuja Ashok, and Prof. Hiranwale S.B. Terrorist Activities Detection via Social Media Using Machine Learning. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2023 [Cited : ]; 9(6) : 230-233. Available from: https://ijariie.com/AdminUploadPdf/Terrorist_Activities_Detection_via_Social_Media_Using_Machine_Learning_ijariie21943.pdf
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