INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
Cyberbullying is a serious trouble on online that impacts each old and young. This results in incidents like demise and despair. Content curation is increasing the need for social media structures. The following study uses facts on varieties of cyberbullying: hate tweets on Twitter and personal assaults on Wikipedia boards. Three function extraction strategies and four classifiers were used to decide the best method. For tweet records, the model achieves over 90% accuracy and for Wikipedia information, over 80% accuracy.
Keywords:
cyberbullying, machine learning, convolutional neural network, deep learning, feature extraction, text classification.
Cite Article:
"MACHINE LEARNING BASED AUTOMATIC HATE SPEECH RECOGNITION SYSTEM", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.9, Issue 4, page no.c416-c420, April-2024, Available :http://www.ijnrd.org/papers/IJNRD2404280.pdf
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ISSN:
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
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