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
The PRDECT-ID dataset includes 5,400 product reviews across 29 categories, annotated for emotion classification by a clinical psychology expert.
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 🔥
Indonesian Twitter Emotion Recognition using Feature Engineering
EMOTION EXPERIENCE
Russian translation of the GoEmotions dataset
This project provides a demo usage of the Deepface framework.
😯😮😖 Um classificador simples de emoções prototípicas de imagens faciais.
Provides all the necessary endpoints to give the emotional capability to Surirobot.
At Emotionsin.ai, we believe that effective collaboration between AI Agents and humans goes beyond technical expertise. Human interaction is built on social, emotional, and cultural foundations. By enhancing AI Agents with advanced emotional skills, we aim to create technology that integrates seamlessly into human context
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.
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