Detection of Cyber bullying On Social Media Using Machine Learning

Registration ID: IJNRD_181543

Published ID: IJNRD2206010

DOI: Click Here to Get

Priyanka Bhimrao Thorat , Sara Vikram Kangane , Sejal Vijay Indalkar , Pratiksha Yewale

Cyber bullying, Machine Learning, Svm, Nlp.

Living in a digital world has both benefits and drawbacks. Web 4.0 also includes online abuse, a form of cybercrime. Technology is mostly used to harass others. We call this cyberbullying. This research paper looked at 30 different researchers' work on online bullying and how they found it. Cybercrime is any crime committed using the World Wide Web as an access point and an electrical gadget such as a computer or phone. Lack of datasets, information about predators, and victim privacy have all hampered cyberbullying research. A text mining method based on machine learning algorithms is proposed to detect bullying text before it occurs. Myspace.com and Perverted-Justice.com data were used to test the system. Compared to an initial study on the same dataset, these extract textual, behavioral, and demographic features. This goes beyond the previous study's focus on textual features. Words in the text could really result in cyberbullying if used. Cyberbullying may occur if these words are used in the text. If anyone bullies once, they may bully again. They give us personality traits. A dataset's demographic features include age, gender, and location. The device is tested by comparing the performance of both classifiers. The SVM classifier outperforms the Bernoulli NB with an overall accuracy of 87.14

Published Paper   E-Certificate

Priyanka Bhimrao Thorat, Sara Vikram Kangane , Sejal Vijay Indalkar, & Pratiksha Yewale (June-2022). Detection of Cyber bullying On Social Media Using Machine Learning. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 7(6), 83-87. https://ijnrd.org/papers/IJNRD2206010.pdf

Volume 7 Issue 6, June-2022

Pages : 83-87

Paper Reg. ID: IJNRD_181543

Published Paper Id: IJNRD2206010

Downloads: 000121989

Research Area: Science & Technology

Country: Pune, Maharashta, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2206010.pdf

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Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

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