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)
Hate Speech (HS) in social media such as Twitter is a complex phenomenon that attracted a significant body of research in the NLP. HS Spreaders (haters) aim to spread HS via social media. In this task, we aim to identify such haters. On one hand, our proposed class-dependent LDSE representation is fed to a linear SVM classifier to identify the haters based on general commonalities. On the other hand, stylistic features of individuals are captured by using extractive summarization of the tweets in conjunction with RoBERTa embedding before classifying them using another linear SVM classifier. Experimental results expressed as accuracies 0.67 and 0.80 over English and Spanish test sets respectively show efficacy of our approach in identifying the haters across different languages.
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"Online Abuse Detection", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 5, page no.c300-c305, May-2023, Available :http://www.ijnrd.org/papers/IJNRD2305240.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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