Emotion Detection

This project is an emotion detection system that uses natural language processing techniques to classify text into different emotions.

Features

• Text preprocessing and cleaning
• Emotion classification using logistic regression model

Requirements

• Python 3.7+
• Required Python packages (see requirements.txt)

Setup

1. Clone the repository:

   git clone https://github.com/raghulpranxsh/EmotionDetection.git
   cd emotion-detection

2. Install dependencies:

   pip install -r requirements.txt

3. Download GloVe Embeddings:

   • Visit https://nlp.stanford.edu/projects/glove/

   • Download the GloVe embedding file (e.g., glove.6B.zip)

   • Unzip the file and place the 300D .txt embedding files inside the embeddings/ folder in this project.

   • OR you could run the ./glove.sh script to do this automatically

Usage

1. Run the app:

   streamlit run app.py

Project Structure

emotion-detection/
│
├── embeddings/           # Place GloVe files here
├── data/                 # Dataset files
├── src/                  # Source code
├── train.py              # Training script
├── predict.py            # Prediction script
├── requirements.txt      # Python dependencies
└── README.md             # Project documentation

Notes

• Make sure the embeddings/ folder contains the GloVe .txt files before running the code.
• For any issues, please open an issue on the repository.

EmotionDetection