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Machine Learning Approach to Classify Twitter Hate Speech

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Machine Learning Approach to Classify Twitter Hate Speech


Subrata Saha | Md. Motinur Rahman | Md. Mahbub Alam



Subrata Saha | Md. Motinur Rahman | Md. Mahbub Alam "Machine Learning Approach to Classify Twitter Hate Speech" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-7 | Issue-5, October 2023, pp.165-169, URL: https://www.ijtsrd.com/papers/ijtsrd59873.pdf

In this modern age, social media platforms have become indispensable tools for communication and information sharing. However, this unprecedented connectivity has also given rise to a concerning proliferation of hate speech and offensive content. This research article presents a comprehensive study on the development and evaluation of machine learning (ML) models for the automatic detection of hate speech on Twitter. We leverage a diverse dataset collected from Twitter, encompassing a wide range of hate speech categories, including hate speech targeting race, gender, religion, and more. To address the multifaceted nature of hate speech, we employ a hybrid approach that combines traditional natural language processing (NLP) techniques with state-of-the-art machine learning algorithms. Our methodology involves extensive preprocessing of the text data, including tokenization, stemming, and feature extraction. We then experiment with various machine learning algorithms, including Naïve Bayes (NB), K-nearest Neighbor (KNN), Random Forest (RF), and Support Vector Machines (SVM). The models are trained and fine-tuned on a labeled dataset and evaluated using robust metrics to assess their performance.

Hate speech classification, cyberbullying, NLP, Machine learning


IJTSRD59873
Volume-7 | Issue-5, October 2023
165-169
IJTSRD | www.ijtsrd.com | E-ISSN 2456-6470
Copyright © 2019 by author(s) and International Journal of Trend in Scientific Research and Development Journal. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0) (http://creativecommons.org/licenses/by/4.0)

International Journal of Trend in Scientific Research and Development - IJTSRD having online ISSN 2456-6470. IJTSRD is a leading Open Access, Peer-Reviewed International Journal which provides rapid publication of your research articles and aims to promote the theory and practice along with knowledge sharing between researchers, developers, engineers, students, and practitioners working in and around the world in many areas like Sciences, Technology, Innovation, Engineering, Agriculture, Management and many more and it is recommended by all Universities, review articles and short communications in all subjects. IJTSRD running an International Journal who are proving quality publication of peer reviewed and refereed international journals from diverse fields that emphasizes new research, development and their applications. IJTSRD provides an online access to exchange your research work, technical notes & surveying results among professionals throughout the world in e-journals. IJTSRD is a fastest growing and dynamic professional organization. The aim of this organization is to provide access not only to world class research resources, but through its professionals aim to bring in a significant transformation in the real of open access journals and online publishing.

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