Artificial emotional intelligence is a set of practices, techniques, and tools used to teach artificial intelligence how to detect, assess, and identify human emotions. Emotional AI techniques typically involve the usage of facial and body recognition, voice and language recognition, and data management. To achieve these purposes, you can use deep learning for facial emotion recognition, and implement unsupervised emotion recognition in text.
What Is Emotional AI?
Emotional AI uses machine learning to detect and interpret emotions in text, audio, or video data. It employs a variety of technologies to collect and analyze data related to facial expressions, gestures, tone of voice, language use, and situational context. Emotional AI also incorporates psychological research as the basis on which interpretations are trained and reported.