SOCIAL MEDIA OFFENSIVE CONVERSATION DETECTION USING MACHINE LEARNING

SOCIAL MEDIA OFFENSIVE CONVERSATION DETECTION USING MACHINE LEARNING

Registration ID: IJNRD_210015

Published ID: IJNRD2311388

DOI: Click Here to Get

Dhineshkumar T , Preethika S , Prasath M , Sasikala K , Sasikala B

cyberbullying, abusive language detection, convolutional neural network (CNN), comparative analysis, offensive language, Friendly Chat application.

The proliferation of social media has led to a surge in daily comments, accompanied by a troubling increase in abusive language. This study addresses the urgent issue of cyberbullying through abusive online comments, targeting individuals and groups based on various criteria. Automatic detection of abusive language is crucial for mitigating this problem. Experimental results highlight the superiority of the convolutional neural network (CNN), achieving impressive accuracy rates of 96.2%, 91.4%, and an undisclosed mixed-language dataset. The research emphasizes the effectiveness of one-layer architectures in deep learning models over two-layer architectures. Comparative analysis affirms the significant superiority of deep learning models in detecting and classifying abusive language. In a related context, an application called "Friendly Chat" is introduced to track offensive language in social media chats, fostering respectful interactions. Utilizing a "toxic comment" dataset rated by human critics, the application classifies posts into categories like abuse and hatred. Employing techniques such as Naïve Bayes, LSTM, and Binary relevance, the application detects abusive users in real-time, contributing to a safer online environment.

Published Paper   E-Certificate

"SOCIAL MEDIA OFFENSIVE CONVERSATION DETECTION USING MACHINE LEARNING", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.8, Issue 11, page no.d799-d804, November-2023, Available :https://ijnrd.org/papers/IJNRD2311388.pdf

Volume 8 Issue 11, November-2023

Pages : d799-d804

Paper Reg. ID: IJNRD_210015

Published Paper Id: IJNRD2311388

Downloads: 000121142

Research Area: Information Technology 

Country: Dharmapuri, Tamil Nadu, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2311388.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2311388

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

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

Publisher: IJNRD (IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition

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INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (IJNRD) aims to explore advances in research pertaining to applied, theoretical and experimental Technological studies. The goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working in and around the world. IJNRD will provide an opportunity for practitioners and educators of engineering field to exchange research evidence, models of best practice and innovative ideas.

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