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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
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Impact Factor : 8.76

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Paper Title: Detection of Cyber bullying On Social Media Using Machine Learning
Authors Name: Priyanka Bhimrao Thorat , Sara Vikram Kangane , Sejal Vijay Indalkar , Pratiksha Yewale
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IJNRD_181543
Published Paper Id: IJNRD2206010
Published In: Volume 7 Issue 6, June-2022
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Abstract: 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
Keywords: Cyber bullying, Machine Learning, Svm, Nlp.
Cite Article: "Detection of Cyber bullying On Social Media Using Machine Learning", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.7, Issue 6, page no.83-87, June-2022, Available :http://www.ijnrd.org/papers/IJNRD2206010.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:IJNRD2206010
Registration ID: 181543
Published In: Volume 7 Issue 6, June-2022
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Page No: 83-87
Country: Pune, Maharashta, India
Research Area: Science & Technology
Publisher : IJ Publication
Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2206010
Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2206010
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ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
Journal Starting Year (ESTD) : 2016

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