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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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| Paper Title: | ENHANCING HATE SPEECH/TOXIC COMMENT DETECTION USING ML & DL TECHNIQUES |
| Authors Name: | Korupolu Prudhvi Raj Naidu , G. Sharmila Sujatha |
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IJNRD_204928
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| Published Paper Id: | IJNRD2309083 |
| Published In: | Volume 8 Issue 9, September-2023 |
| DOI: | |
| Abstract: | With the rise in internet users due to improved telecommunication networks and affordable data rates, people from remote areas can now freely express their thoughts and opinions online. However, this increase in internet usage has also led to a concerning surge in hate speech and bullying. These negative behaviors hinder open expression, promote negativity, depression, and fuel communal/racial hatred, sometimes even leading to riots. Social media platforms must take proactive steps to ensure a toxic-free environment. By fostering a safe space, these platforms can encourage the free exchange of information and diverse opinions. This paper addresses the challenge of controlling hate speech and toxic comments on social media platforms. It develops models using multi-class and multi-label classification techniques to automatically detect and flag harmful content. Real comments from social media platforms are used to create a representative dataset. The study explores machine learning and deep learning models. Performance metrics are used to compare the effectiveness of the models. The paper aims to create a safer online environment by mitigating the negative impact of hate speech and toxic comments. |
| Keywords: | Hate Speech, Toxic Comment Detection, Machine Learning, Deep Learning |
| Cite Article: | "ENHANCING HATE SPEECH/TOXIC COMMENT DETECTION USING ML & DL TECHNIQUES", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 9, page no.a700-a716, September-2023, Available :http://www.ijnrd.org/papers/IJNRD2309083.pdf |
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| 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:IJNRD2309083 Registration ID: 204928 Published In: Volume 8 Issue 9, September-2023 DOI (Digital Object Identifier): Page No: a700-a716 Country: visakhapatnam, andhra pradesh, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2309083 Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2309083 |
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ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
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