Detecting Tamil Textual Threats in Social Media Using Artificial Intelligence

Detecting Tamil Textual Threats in Social Media Using Artificial Intelligence

Registration ID: IJNRD_215939

Published ID: IJNRD2403338

DOI: Click Here to Get

ABISHEK A , Thadeus Cruz Govindapillai

In recent decades, the proliferation of social networks has facilitated extensive communication among individuals globally through microblogging technologies. This has enabled the free exchange of ideas, feelings, and information on a massive scale and in real-time. However, this increased connectivity has also led to the proliferation of offensive language, including hate speech and cyberbullying, on social media platforms. Legislation in various countries seeks to address this issue, with measures such as Germany's Network Enforcement Act. Advanced technical approaches are being developed to assist social media platforms in enforcing these laws, including the detection of offensive language using artificial intelligence (AI) techniques. While offensive language detection has been explored in various languages, including English, German, Turkish, Hindi, Chinese, and Arabic, addressing this issue in Tamil poses its own challenges due to linguistic complexities and dialectical variations. This paper aims to explore the implemented AI approaches, performance measurement methodologies, and dataset details for offensive language detection in Tamil. By providing a comprehensive overview of existing research, this paper aims to guide future studies and facilitate a more unified approach to addressing the issue of offensive language in Tamil social media.

Published Paper   E-Certificate

"Detecting Tamil Textual Threats in Social Media Using Artificial Intelligence", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.9, Issue 3, page no.d282-d286, March-2024, Available :https://ijnrd.org/papers/IJNRD2403338.pdf

Volume 9 Issue 3, March-2024

Pages : d282-d286

Paper Reg. ID: IJNRD_215939

Published Paper Id: IJNRD2403338

Downloads: 000121287

Research Area: Engineering

Country: DHARMAPURI, Tamilnadu, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2403338.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2403338

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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