Emotion Detection using NLP

This project focuses on detecting human emotions from text using Natural Language Processing techniques.

Dataset

• Hugging Face emotion dataset
• Six emotions: sadness, joy, love, anger, fear, surprise

Models Implemented

• Naive Bayes + TF-IDF
• Logistic Regression + TF-IDF
• LSTM (Basic) (to be added)
• LSTM with GloVe (to be added)

Project Structure

• notebooks/ : Model implementations
• src/ : Reusable preprocessing and evaluation code
• results/ : Plots and metrics