Hate Speech Analysis using Machine Learning
🎯 Hate Speech & Offensive Language Detection Using Python | Machine Learning Project
🚀 In this project, we’ve built a Text Classification System using Natural Language Processing (NLP) and Machine Learning that detects and classifies comments into:
Hate Speech
Offensive Language
Clean / Neutral Comment
💻 Technologies Used:
Python
NLTK (Natural Language Toolkit)
Scikit-learn (Decision Tree Classifier)
Tkinter (GUI Development)
Pandas & NumPy
PIL for logo/image display
✨ The system features:
Clean and interactive GUI
Real-time prediction
Comment classification using trained ML model
Preprocessing with stemming and stopword removal
🎯 Purpose:
To help filter out harmful or offensive comments on social platforms and maintain respectful digital interactions.
📁 Dataset:
The model is trained using a dataset containing thousands of labeled tweets.
💡 Great for B.Tech/MCA mini projects, AI/ML demos, or Python-based NLP applications.
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