UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Volume 11 | Issue 5 | May 2024

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Volume 11 Issue 5
May-2024
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2405593


Registration ID:
540420

Page Number

f850-f855

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Title

NLP-POWERED HATE SPEECH DETECTION AND RESPONSE

Abstract

The project, "NLP-Powered Hate Speech Detection and Response," confronts the pervasive issue of online hate speech through the application of cutting-edge Natural Language Processing (NLP) techniques. In response to the escalating challenges of toxicity on digital platforms, our solution employs advanced algorithms to identify and categorize hate speech in real-time, facilitating rapid and precise response mechanisms. This report comprehensively explores the development, implementation, and evaluation of our NLP model. Beyond mere technological innovation, the study delves into the complexities of hate speech detection models, considering linguistic evolution, cultural nuances, and ethical considerations. The investigation scrutinizes the scalability and adaptability of the NLP model across diverse online spaces, accounting for variations in content and user interactions. It assesses potential biases inherent in hate speech detection algorithms, proposing strategies for mitigation to ensure fairness and impartiality. Moreover, the project contemplates user feedback and system performance metrics to gauge the practical effectiveness of the implemented solution. As a synthesis of technological innovation and ethical considerations, this project aims to contribute meaningfully to the ongoing discourse on combating online toxicity. By promoting responsible online communication through user education initiatives and refining automated content moderation tools, we aspire to create a robust framework for fostering a safer, more inclusive digital environment.

Key Words

NLP, Data Science, Machine Learning, Artificial Intelligence, Text Classification, Sentiment Analysis,Offensive Language Detection, Cyberbullying Detection, Social Media Monitoring, Data Annotation, Feature Engineering, Model Training, Text Preprocessing, Deep Learning, Hate Speech Corpus

Cite This Article

"NLP-POWERED HATE SPEECH DETECTION AND RESPONSE", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 5, page no.f850-f855, May-2024, Available :http://www.jetir.org/papers/JETIR2405593.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"NLP-POWERED HATE SPEECH DETECTION AND RESPONSE", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 5, page no. ppf850-f855, May-2024, Available at : http://www.jetir.org/papers/JETIR2405593.pdf

Publication Details

Published Paper ID: JETIR2405593
Registration ID: 540420
Published In: Volume 11 | Issue 5 | Year May-2024
DOI (Digital Object Identifier):
Page No: f850-f855
Country: BENGALURU, Karnataka, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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