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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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| Paper Title: | Detection of Cyber bullying On Social Media Using Machine Learning |
| Authors Name: | Shweta Baviskar , Pranali Gaikwad , Gaurav Patil , Rakshita Suram |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJNRD_197564
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| Published Paper Id: | IJNRD2305887 |
| Published In: | Volume 8 Issue 5, May-2023 |
| DOI: | |
| Abstract: | Nowadays, a lot of people indulge themselves in the world of social media. With the current pandemic scenario, this engagement has only increased as people often rely on social media platform to express their emotions, find comfort, find like-minded individuals, and form communities. With this extensive use of social media comes many downsides and of the downside is cyberbully. Cyberbullying is a form of online harassment that is both unsettling and troubling. It can take many forms, but the most common is a textual format. Cyberbullying is common on social media, and people often end up in a mental breakdown state instead of taking action against the bully. On the majority of social networks, automated detection of these situations necessitates the use of intelligent systems. We have proposed a cyberbullying detection system to address this issue. In this work, we proposed a deep learning framework that will evaluate real-time twitter tweets or social media posts as well as correctly identify any cyberbullying content in them. Recent studies has shown that deep neural network-based approaches are more effective than conventional techniques at detecting cyberbullying texts. Additionally, our application can recognise cyberbullying posts which were written in English, Hindi, and Hinglish (Multilingual data). |
| Keywords: | Cyber-bullying, social media, detection, machine learning. |
| 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.8, Issue 5, page no.i762-i764, May-2023, Available :http://www.ijnrd.org/papers/IJNRD2305887.pdf |
| Downloads: | 000118747 |
| 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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Published Paper ID:IJNRD2305887 Registration ID: 197564 Published In: Volume 8 Issue 5, May-2023 DOI (Digital Object Identifier): Page No: i762-i764 Country: pune, maharashtra, India Research Area: Computer Engineering Publisher : IJ Publication Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2305887 Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2305887 |
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ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
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