The words we say include explicit disclosures of emotion and implicit emotional connotations. These meanings are complex and high-dimensional.
From written or spoken words, our Emotional Language model generates 53 outputs encompassing different dimensions of emotion that people often perceive. As with every model, the labels for each dimension are proxies for how people tend to label the underlying patterns of behavior. They should not be treated as direct inferences of emotional experience.
Our Emotional Language model is packaged with speech transcription and works on audio files, videos, and text.
Our Named Entity Recognition (NER) model can also identify topics or entities (people, places, organizations, etc.) mentioned in speech or text and the tone of language they are associated with, as identified by our emotional language model.
Updated 3 months ago