Detection of Cyber bullying On Social Media Using Machine Learning

Registration ID: IJNRD_197564

Published ID: IJNRD2305887

DOI: Click Here to Get

Shweta Baviskar , Pranali Gaikwad , Gaurav Patil , Rakshita Suram

Cyber-bullying, social media, detection, machine learning.

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).

Published Paper   E-Certificate

Shweta Baviskar, Pranali Gaikwad, Gaurav Patil, & Rakshita Suram (May-2023). Detection of Cyber bullying On Social Media Using Machine Learning. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 8(5), i762-i764. https://ijnrd.org/papers/IJNRD2305887.pdf

Volume 8 Issue 5, May-2023

Pages : i762-i764

Paper Reg. ID: IJNRD_197564

Published Paper Id: IJNRD2305887

Downloads: 000121979

Research Area: Computer Engineering 

Country: pune, maharashtra, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2305887.pdf

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Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

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