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• Published on 19 January 2025
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Hate Speech Automatic Detection

1Mrs Pethota Swaroopa  2Siripurapu Alekhya  3Dakuri Sairam Reddy  4Patnam Manaswini  5Chidithoti Mahender

1Asst. Professor, ACE Engineering College Hyderabad, India

2Student, ACE Engineering College Hyderabad, India 3Student, ACE Engineering College Hyderabad, India   4Student, ACE Engineering College Hyderabad, India

5Student, ACE Engineering College Hyderabad, India

Email : 1swaroopamudiraj@gmail.com  2siripurapualekhya2003@gmail.com    3sairamreddy457@gmail.com 4manasvinipatnam03@gmail.com    5chidithotimahendar@gmail.com

 

ABSTRACT:

This study offers a system studying-primarily based absolutely device for automated hate speech detection in textual content the usage of natural Language Processing (NLP) techniques. fashions like Logistic Regression and deep mastering algorithms (LSTM, BERT) are educated on classified datasets with features extracted via TF-IDF. The system evaluates overall overall performance using metrics together with accuracy, precision, keep in mind, and F1-score.

A multilingual translation issue powered with the aid of Google Translator enables detection across languages. A Tkinter-based totally GUI allows clients to categorise remarks in actual-time, making sure accessibility and simplicity of use. elegance imbalances are addressed with weighted Logistic Regression, improving detection accuracy. The gadget demonstrates strong overall performance, promoting greater communities with the resource of offering an inexperienced device for computerized hate speech moderation.

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