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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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Volume 9 | Issue 5
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| Paper Title: | Detecting Tamil Textual Threats in Social Media Using Artificial Intelligence |
| Authors Name: | ABISHEK A , Thadeus Cruz Govindapillai |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJNRD_215939
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| Published Paper Id: | IJNRD2403338 |
| Published In: | Volume 9 Issue 3, March-2024 |
| DOI: | |
| Abstract: | 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. |
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| Cite Article: | "Detecting Tamil Textual Threats in Social Media Using Artificial Intelligence", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.9, Issue 3, page no.d282-d286, March-2024, Available :http://www.ijnrd.org/papers/IJNRD2403338.pdf |
| Downloads: | 00032 |
| 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:IJNRD2403338 Registration ID: 215939 Published In: Volume 9 Issue 3, March-2024 DOI (Digital Object Identifier): Page No: d282-d286 Country: DHARMAPURI, Tamilnadu, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2403338 Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2403338 |
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