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ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
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Paper Title:	Detecting Hate Speech In X(Twitter) Using Sentiment Analysis
Authors Name:	Siddhant Roy , Girikratna Sharma
Unique Id:	IJSDR2309085
Published In:	Volume 8 Issue 9, September-2023
Abstract:	Accurately separating hate speech from offensive language is difficult for computerized hate-speech detection on social media. Currently used techniques frequently lack accuracy, and supervised learning is ineffective at successfully differentiating between these categories. This study collects tweets with hate speech keywords and, using a crowd-sourced hate speech lexicon, labels them as either hate speech, offensive language, or neither. A multi-class classifier is trained to distinguish between these categories, showing instances where it is more challenging to distinguish between hate speech and offensive language. The study discovered its classification of tweets as hate speech was less probable for those containing homophobic or racist rhetoric in contrast to those espousing sexist or racist perspectives, which were more likely to receive such designation. Additionally, tweets without clear hateful language provide a bigger classification challenge.
Keywords:	Hate speech, sentiment analysis, twitter, machine learning
Cite Article:	"Detecting Hate Speech In X(Twitter) Using Sentiment Analysis", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.8, Issue 9, page no.581 - 585, September-2023, Available :http://www.ijsdr.org/papers/IJSDR2309085.pdf
Downloads:	000338719
Publication Details:	Published Paper ID: IJSDR2309085 Registration ID:208585 Published In: Volume 8 Issue 9, September-2023 DOI (Digital Object Identifier): Cite as Siddhant Roy, & Girikratna Sharma. (2023). Detecting Hate Speech In X(Twitter) Using Sentiment Analysis. International Journal of Scientific Development and Research, 8(9), 581–585. https://doi.org/10.5281/zenodo.8373613 Page No: 581 - 585 Publisher: IJSDR \| www.ijsdr.org ISSN Number: 2455-2631

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