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 extreme on-line problem that influences younger human beings and adults. Hence accidents, inclusive of dying and disappointment. Content moderation on social media systems is becoming a growing necessity. The following study makes use of information from exclusive styles of cyberbullying, Twitter hate tweets and remarks based totally on non-public assaults from Wikipedia boards, to build a version on how cyberbullying is detected in text information using herbal language processing and machine gaining knowledge of. Three characteristic extraction strategies and 4 classifiers had been studied to determine the best technique. For these tweets, the version is greater than ninety% correct, and for the Wikipedia facts it's miles extra than 80%.
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Cite Article:
"Detection of cyberbullying on social media using xg-boost algorithm", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.8, Issue 4, page no.2500 - 2507, April-2023, Available :http://www.ijsdr.org/papers/IJSDR2304388.pdf
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Publication Details:
Published Paper ID: IJSDR2304388
Registration ID:205872
Published In: Volume 8 Issue 4, April-2023
DOI (Digital Object Identifier):
Page No: 2500 - 2507
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631
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