Emotion Classifier 🤖

This is an LSTM-based emotion classification model trained on a labeled dataset of sentences to predict emotions like joy, sadness, anger, fear, love, surprise.

🔍 Dataset

• Source: Kaggle Emotion Dataset
• Preprocessed into training and validation sets

🧠 Model

• Embedding layer + LSTM
• Dense + Softmax for classification
• Achieved ~90% validation accuracy

🚀 Deployment

• Deployed using Streamlit Cloud
• 🖥 View Live App

📦 Requirements

tensorflow
numpy
scikit-learn
streamlit
pickle-mixin