https://github.com/justmirr/hate-speech-detection

Built using Python, Streamlit, and NLTK, the Hate Speech Detection App employs a Decision Tree Classifier for identifying hate speech in text. It features real-time speech input, NLP preprocessing, and a user-friendly Streamlit interface, offering both visual and text-to-speech result presentation.
https://github.com/justmirr/hate-speech-detection

count-vectorizer nltk python sklearn streamlit

Last synced: 2 months ago
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Built using Python, Streamlit, and NLTK, the Hate Speech Detection App employs a Decision Tree Classifier for identifying hate speech in text. It features real-time speech input, NLP preprocessing, and a user-friendly Streamlit interface, offering both visual and text-to-speech result presentation.

• Host: GitHub
• URL: https://github.com/justmirr/hate-speech-detection
• Owner: justmirr
• Created: 2023-12-19T18:18:48.000Z (over 2 years ago)
• Default Branch: main
• Last Pushed: 2024-11-14T10:18:27.000Z (over 1 year ago)
• Last Synced: 2025-10-09T06:56:40.623Z (7 months ago)
• Topics: count-vectorizer, nltk, python, sklearn, streamlit
• Language: Python
• Homepage:
• Size: 2.57 MB
• Stars: 0
• Watchers: 2
• Forks: 3
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# hate-speech-detection

This Hate Speech Detection App is a project that leverages a Decision Tree Classifier to identify hate speech in text. Built using Python, Streamlit, and NLTK, the app preprocesses text data with Natural Language Processing (NLP) techniques, applies a bag-of-words representation using CountVectorizer, and trains a Decision Tree Classifier. Users can input text for hate speech detection through a Streamlit interface, which also supports real-time speech input.

# Features:

1. Hate speech detection using a Decision Tree Classifier

2. NLP preprocessing for text data

3. User-friendly Streamlit interface

4. Visual and text-to-speech result presentation

# Getting Started

1. Clone the repository: "git clone https://github.com/justmirr/hate-speech-detection-app.git"

2. Install dependencies: "pip install -r requirements.txt"

3. Run the app: "streamlit run app.py"

# Usage

1. Enter text in the provided input box.

2. Click the "Detect Hate Speech" button.

3. View the result visually and hear the text-to-speech output.