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metadata
title: Hate Speech Text Classifier
emoji: 👁
colorFrom: green
colorTo: red
sdk: gradio
sdk_version: 4.21.0
app_file: app.py
pinned: false

Monitoring Harmful Text in Online Platforms

Overview

This repository hosts the RandomForest classifier model designed for detecting harmful text AGAINST GROUPS. The model classifies text into one of three categories: "Offensive or Hateful", "Neutral or Ambiguous", and "Not Hate". Achieving an accuracy of 92.5%, this model was developed through the combination of three distinct datasets, ensuring robustness and reliability in varied contexts. It was presented at the prestigious annual Gulf Coast Conference & Expo on AI.

Model Details Model Type: RandomForest Classifier Accuracy: 92.5% Labels: 0: Neutral or Ambiguous 1: Not Hate 2: Offensive or Hateful Training Data: Augmented version of this dataset (279k+ rows)