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IJNRD
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)

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Impact Factor : 8.76

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Paper Title: Cyberbullying Detection On Social Media Using Machine Learning
Authors Name: Tushara Kodi , M. Sion Kumari , Sirisha Devada , Sindhu Sravya Mangalapalli , Rayapureddy Sivani, Preethi Sandilya Kakarla
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IJNRD_188751
Published Paper Id: IJNRD2303191
Published In: Volume 8 Issue 3, March-2023
DOI:
Abstract: Cyberbullying is a pervasive problem in the digital age that can lead to serious mental and physical harm for its victims. This is a very important and timely research topic, given the increasing prevalence of online abuse and bullying on social media. The use of natural language processing and machine learning to detect abusive messages could be an effective solution to mitigate the negative impact of online harassment. By developing a reliable and accurate technique to detect bullying text, we can potentially prevent or intervene in cases of cyberbullying before they escalate into more serious consequences. This paper proposes an approach for detecting cyberbullying on social media using the naive Bayes algorithm. The proposed method involves the use of natural language processing techniques to preprocess and extract relevant features from textual data, such as social media comments. These features are then used to train a multinomial naive Bayes classifier to classify comments as either cyber bullying or non-cyberbullying. Overall, this research has the potential to make a significant positive impact on society by addressing a critical issue in the digital age.
Keywords: Cyberbullying, Machine learning, Multinomial Naïve Bayes, Natural Language Processing (NLP)
Cite Article: "Cyberbullying Detection On Social Media Using Machine Learning", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 3, page no.b821-b825, March-2023, Available :http://www.ijnrd.org/papers/IJNRD2303191.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
Publication Details: Published Paper ID:IJNRD2303191
Registration ID: 188751
Published In: Volume 8 Issue 3, March-2023
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Page No: b821-b825
Country: Visakhapatnam, Andhra pradesh, India
Research Area: Engineering
Publisher : IJ Publication
Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2303191
Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2303191
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ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
Journal Starting Year (ESTD) : 2016

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