Cognitive Method to Detect Toxic Comments In Social Media

Registration ID: IJNRD_215716

Published ID: IJNRD2403307

DOI: Click Here to Get

Jomy Joseph , Sneha Rose , M.Jayakumar

Toxic Comment, Natural Language Processing

Social media is considered the most important activity that helps to consume more experience and knowledge. This is due to the massive increase in internet users worldwide, which continues to increase from millions to billions using the Internet in the operation of social media. Due to these, it has become the first information that the user consumes after waking up and before sleeping. It helps in the fulfilment of small moments of our day-today lives. Toxicity in online comments has become a major concern in today’s digital world, and detecting such comments automatically can greatly improve the safety and quality of online discussions. The project is developed in order to produce a model which can detect toxic comments with the use of Hybrid Neural Network (HNN), which is a combination of Convolutional Neural Network (CNN) and Recurrent Neutral Network (RNN). The results indicates that the use of Hybrid Neural Network has resulted in an increased efficiency in detecting toxic comments. This project mainly focuses on creating a model that can detect and control various toxics such as threats, obscenities, insults and identity-based hatred in an automated manner. This model can be further incorporated in web applications, social media, blogs, etc.

Published Paper   E-Certificate

Jomy Joseph, Sneha Rose, & M.Jayakumar (March-2024). Cognitive Method to Detect Toxic Comments In Social Media. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 9(3), d52-d57. https://ijnrd.org/papers/IJNRD2403307.pdf

Volume 9 Issue 3, March-2024

Pages : d52-d57

Paper Reg. ID: IJNRD_215716

Published Paper Id: IJNRD2403307

Downloads: 000121982

Research Area: Other

Country: Kottayam, Kerala, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2403307.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2403307

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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Call For Paper - Volume 10 | Issue 10 | October 2025

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