Final project for "Natural Language Processing" course at University of Tartu. December 2017.

Emotional speech detection of sound files with Deep Learning and Advanced Signal Processing 🔉 🤖 😄

Emotion detection in song lyrics and recommendation system

An automated cocktailmaker with smart drink recommendations based on the user's emotions and alcohol consumption level.

This repository contains a very simple and naive emotion detector using OpenCV modules and Paul Ekman's theory on microexpressions.

The script uses python libraries namely opencv-python and DeepFace and detects facial emotion through analyzing webcam's feed.

It is a real time Emotion detection

Turkish Emotion Analysis

Emotion detection using Bi-directional LSTM and Bi-directional GRU. Our model can predict 7 types of emotion from a text, fear, anger, shame, sadness, joy, disgust and guilt.

Emotion detection using CK+ dataset

Real Time Emotion Detection for Low Cost Robot in ROS

This project uses TensorFlow.js and React to detect emotions in real-time using a webcam. It loads a pre-trained model and uses it to classify emotions based on facial expressions.

Building a CNN classifier to detect and classify human faces into one of the seven human emotions, The architecture used for creating this CNN is VGG16.VGG16 is a convolution neural net (CNN ) architecture which was used to win ILSVR(Imagenet) competition in 2014. It is considered to be one of the excellent vision model architecture till date.

This project aims to tackle the growing challenge of analyzing emotions conveyed through text, particularly in the context of the vast amount of comments generated daily on social media platforms and reviews from websites.

Face emotion recognition

The project is about evaluating students interest in the Classroom and Automatic attendance system

Face & Mood recognition with Reactjs and Face Api / Tensowflow.js

Sentiment Analysis for predicting emotion classes within [happy, sad, angry, others]

Detecting the emotion from static facial expressions

This project done emotion recognition using SVM