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Abubakari-Sadique/toxic-text-classifier

Domaine:

natural language processing

Type de record:

model
Créateur:
Abu
Hôte:
AI model that detects toxic vs safe text including African languages using NLP # Toxic Text Classifier This project is a simple AI model that detects whether text is toxic or safe. ## 🚀 Features - Text classification using machine learning - TF-IDF vectorization - Logistic Regression model ## 🧠 Tech Stack - Python - Scikit-learn - Pandas - Google Colab ## 📊 Example Predictions You are stupid,toxic I like your work,safe Good morning friend,safe You are ugly and nobody likes you,toxic Woyɛ kwasia,toxic Meda wo ase,safe Wo ho yɛ fɛ,safe Kɔ fie you idiot,toxic Well done wo yɛ adeɛ yiye,safe Nobody likes you woyɛ ɔhaw,toxic God bless you Onyame nhyira wo,safe ## 📸 Screenshots ## 📁 Files - `data.csv` → dataset - `model.ipynb` → training notebook ## 🏁 How to Run 1. Open notebook in Google Colab 2. Upload dataset 3. Run all cells