A collection of datasets for the purpose of emotion recognition/detection in speech.

This program can recognize your mood by detecting your face and play song according your mood

The ReactionGIF dataset of tweets and their GIF reactions from the ACL 2021 paper "Happy Dance, Slow Clap: Using Reaction GIFs to Predict Induced Affect on Twitter" (https://aclanthology.org/2021.acl-short.50/)

Basic Emotion Recognition using Pytorch

Final degree project about predicting emotions from facial expressions

Omino is an algorithm experiment based on words written by the user.

Affective Computing and Human Robot Interaction project to identify emotions in paintings using transfer learning

Code for the paper "Modeling Multiple Temporal Scales of Full-body Movements for Emotion Classification"

Text to emotions using RNN, FastAPI, simple and fun 🔥

EMOTION EXPERIENCE

Russian translation of the GoEmotions dataset

This project provides a demo usage of the Deepface framework.

Provides all the necessary endpoints to give the emotional capability to Surirobot.

😯😮😖 Um classificador simples de emoções prototípicas de imagens faciais.

Развивающая игра "Компас в мире эмоций"

A browser-based application which uses face recognition to display ads in a smarter way, gain customer analytics and to help the blind to understand the emotions of the person near them.

SentimentMaster is a Python application designed for sentiment analysis. It utilizes machine learning techniques to analyze the sentiment of text data.

Hackathon project, AI inferring emotions based on lyrics

Speech Emotion Recognition, abbreviated as SER, is the act of attempting to recognize human emotion and affective states from speech. This is capitalizing on the fact that voice often reflects underlying emotion through tone and pitch. This is also the phenomenon that animals like dogs and horses employ to be able to understand human emotion.