INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15
Cyberbullying is a major problem encountered on internet that affects teenagers and also adults. It has lead to mishappenings like suicide and depression. Regulation of content on Social media platorms has become a growing need. The following study uses data from two different forms of cyberbullying, hate speech tweets from Twitter and comments based on personal attacks from Wikipedia forums to build a model based on detection of Cyberbullying in text data using Natural Language Processing and Machine learning. Three methods for Feature extraction and four classifiers are studied to outline the best approach. For Tweet data the model provides accuracies above 90% and for Wikipedia data it gives accuracies above 80%.
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Cite Article:
"Cyber Saver - A Machine Learning Approach To Detection Of Cyber Bullying", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.8, Issue 4, page no.2309 - 2314, April-2023, Available :http://www.ijsdr.org/papers/IJSDR2304358.pdf
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Publication Details:
Published Paper ID: IJSDR2304358
Registration ID:205751
Published In: Volume 8 Issue 4, April-2023
DOI (Digital Object Identifier):
Page No: 2309 - 2314
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631
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