Call for Papers:Vol.10 Issue.6

Submission
Last date		 30-Dec-2024
Acceptance Status In One Day
Paper Publish In Two Days
Submit ManuScript

News & Updates

Submit Article

Dear Authors, Article publish in our journal for Volume-10,Issue-6. For article submission on below link: Submit Manuscript


Join As Board

Dear Reviewer, You can join our Reviewer team without given any charges in our journal. Submit Details on below link: Join As Board


Paper Publication Charges

IJARIIE APP
Download Android App

For Authors

Archives

IJARIIE Board

Downloads

Android App

Download IJARIIE APP

Authors

Title: :  DETECTION OF CYBERBULLYING ON SOCIAL MEDIA USING SVM
PaperId: :  19998
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 9 Issue 3 2023
DUI:    16.0415/IJARIIE-19998
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
S.SREE VIDHYAERODE SENGUNTHAR ENGINEERING COLLEGE
V.PRADHAPERODE SENGUNTHAR ENGINEERING COLLEGE
K.SUNILKUMARERODE SENGUNTHAR ENGINEERING COLLEGE
V.KAVINERODE SENGUNTHAR ENGINEERING COLLEGE

Abstract

COMPUTER SCIENCE ENGINEERING
To detect the cyberbullying activities in social media.
In order to identify Twitter attacks, this project provides a survey of the twitter stream. Online social networking has grown to be a fairly common means for individuals to connect and communicate. Users spend a lot of time on well- known social networking sites like Facebook, MySpace, or Twitter, where they store and share a plethora of personal data. Our findings indicate that the bulk of clicks come from direct sources, and that spammers use well-known websites to cross- post links to gain additional attention. Apply this method to help with the issue of online spam detection with little overhead even though campaign identification has been utilized for offline spam filtering.We gather a large number of tweets from the public timeline on Twitter and use them to create a statistical classifier. Evaluation findings demonstrate that our classifier swiftly and accurately identifies suspicious URLs. This method looks for correlations between URL redirect chain that were taken froma numbers of tweet and creates commonly shared URLs. because attackers typically waste their limited resources. Cyber bullying, Machine learning, Natural language processing, Social media.

Citations

Copy and paste a formatted citation or use one of the links to import into a bibliography manager and reference.

IJARIIE S.SREE VIDHYA, V.PRADHAP, K.SUNILKUMAR, and V.KAVIN. "DETECTION OF CYBERBULLYING ON SOCIAL MEDIA USING SVM" International Journal Of Advance Research And Innovative Ideas In Education Volume 9 Issue 3 2023 Page 318-326
MLA S.SREE VIDHYA, V.PRADHAP, K.SUNILKUMAR, and V.KAVIN. "DETECTION OF CYBERBULLYING ON SOCIAL MEDIA USING SVM." International Journal Of Advance Research And Innovative Ideas In Education 9.3(2023) : 318-326.
APA S.SREE VIDHYA, V.PRADHAP, K.SUNILKUMAR, & V.KAVIN. (2023). DETECTION OF CYBERBULLYING ON SOCIAL MEDIA USING SVM. International Journal Of Advance Research And Innovative Ideas In Education, 9(3), 318-326.
Chicago S.SREE VIDHYA, V.PRADHAP, K.SUNILKUMAR, and V.KAVIN. "DETECTION OF CYBERBULLYING ON SOCIAL MEDIA USING SVM." International Journal Of Advance Research And Innovative Ideas In Education 9, no. 3 (2023) : 318-326.
Oxford S.SREE VIDHYA, V.PRADHAP, K.SUNILKUMAR, and V.KAVIN. 'DETECTION OF CYBERBULLYING ON SOCIAL MEDIA USING SVM', International Journal Of Advance Research And Innovative Ideas In Education, vol. 9, no. 3, 2023, p. 318-326. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/DETECTION_OF_CYBERBULLYING_ON_SOCIAL_MEDIA_USING_SVM_ijariie19998.pdf (Accessed : ).
Harvard S.SREE VIDHYA, V.PRADHAP, K.SUNILKUMAR, and V.KAVIN. (2023) 'DETECTION OF CYBERBULLYING ON SOCIAL MEDIA USING SVM', International Journal Of Advance Research And Innovative Ideas In Education, 9(3), pp. 318-326IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/DETECTION_OF_CYBERBULLYING_ON_SOCIAL_MEDIA_USING_SVM_ijariie19998.pdf (Accessed : )
IEEE S.SREE VIDHYA, V.PRADHAP, K.SUNILKUMAR, and V.KAVIN, "DETECTION OF CYBERBULLYING ON SOCIAL MEDIA USING SVM," International Journal Of Advance Research And Innovative Ideas In Education, vol. 9, no. 3, pp. 318-326, May-Jun 2023. [Online]. Available: https://ijariie.com/AdminUploadPdf/DETECTION_OF_CYBERBULLYING_ON_SOCIAL_MEDIA_USING_SVM_ijariie19998.pdf [Accessed : ].
Turabian S.SREE VIDHYA, V.PRADHAP, K.SUNILKUMAR, and V.KAVIN. "DETECTION OF CYBERBULLYING ON SOCIAL MEDIA USING SVM." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 9 number 3 ().
Vancouver S.SREE VIDHYA, V.PRADHAP, K.SUNILKUMAR, and V.KAVIN. DETECTION OF CYBERBULLYING ON SOCIAL MEDIA USING SVM. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2023 [Cited : ]; 9(3) : 318-326. Available from: https://ijariie.com/AdminUploadPdf/DETECTION_OF_CYBERBULLYING_ON_SOCIAL_MEDIA_USING_SVM_ijariie19998.pdf
BibTex EndNote RefMan RefWorks

Number Of Downloads



Save in Google Drive

Similar-Paper

TitleArea of ResearchAuther NameAction
A Review on Ad Makers- Creation & Design Advertising CampaignsComputer EngineeringSwapnil Ohol1 Download
DETECTING FACIAL FORGERIES USING NOVEL FREQUENCY CONVOLUTIONAL NEURAL NETWORKComputer ScienceChikati Madhava Rao Download
Detecting Diabetes Early and Classifying Risk with Interpretable Deep Learning ModelsComputer ScienceMohmad Ahmed Ali Download
Enhance Accuracy of Medical Disease Prediction Using Machine Learning TechniquesMachine LearningSandeep Singh Sikarwar Download
Transformer-based Generative Adversarial Network (GAN) hybrid model for sentiment analysisInformation Technologyhridesh kumar Download
A Step Ahead in Operational Resilience - Integrating Observability with DevOpsComputer EngineeringAmit Sengupta Download
The Influence of Artificial Intelligence and Human-Computer Interaction on Enhancing Children's Learning ExperiencesComputer Engineering,Supriya S Kendhuli Download
Medicinal Plants Identification Using Deep LearningComputer Engineering Rohan Kumar Verma Download
“How to balance automation and ethics when rolling out AI automation in an Educational Framework”Computer SciecneSudhakar mishra Download
Microservices Fault Tolerance PatternsComputer EngineeringAmit Sengupta Download
Forecasting and Categorization of Cardiac Arrhythmia using Soft Computational ApproachesComputer Science and EngineeringDr. Sivaprakash. C Download
Enhancing CybersecurityComputer EngineeringG Tarun Download
Microservices Design PatternsComputer EngineeringAmit Sengupta Download
The Novel Approach to Detect Kidney Stones Using Deep Learning and Convolutional Neural NetworksCSEN Manjunatha Download
An investigation into the use of deep learning and image processing in the domain of diabetic medical careCSEHR Ravikumar Download
12