We use millions of texts on Twitter containing emojis for training a deep learning model that understands many nuances of how language is used to express emotions. For instance, it does well at capturing sarcasm and slang. We beat state-of-the-art algorithms across many benchmarks datasets. See our paper, blog post or FAQ for more details.
DeepMoji is based on research done by Bjarke Felbo, Alan Mislove, Anders Søgaard, Iyad Rahwan and Sune Lehmann. The research to further improve our understanding of emotional content in text is carried out by Bjarke Felbo, Nick Obradovich, Holly Shablack, Kristen Lindquist and Iyad Rahwan. The website was designed by Max Lever.
Disclaimer: Note that the model has learned about language from the raw, uncurated expressions of individuals on social media. We do not endorse in any way the emotional interpretation that the model has of any particular content.