This project implements an emotion detection system using a Bi-directional LSTM (BiLSTM) model. The goal is to classify text into six predefined emotion categories (“joy”, “sadness”, “fear”, “anger”, ...

This repository contains code and analysis for text emotion classification using Machine Learning and Keras. The project includes data preprocessing, tokenization, one-hot encoding, model architecture ...

Emotion detection from electroencephalogram (EEG) signals holds immense potential for understanding human affective states and has wide-ranging applications in various domains. This ...