Data as of Sep 29, 2026 · Based on 1,406 AI responses · See how Parse measures this
DeepMoji is an open-source deep learning model trained on 1.2 billion emoji-labeled tweets to understand how language conveys emotions. It uses transfer learning to achieve strong performance on emotion-related text tasks such as sentiment, emotion, and sarcasm analysis. The repository includes code and examples to convert datasets to its vocabulary, load the model, and run inferences (with an online demo that is no longer available).
Hosted on GitHub
0%No change
of AI answers about DeepMoji and its rivals. Week of Sep 21
The market map · 5 of 96 labelled
Social Media Sentiment Analysis ToolsMentioned in · last 30 days
“DeepMoji — an open research model trained on 1.2B tweets to learn emotional signals; its creators report strong transfer to sentiment, emotion, and sarcasm tasks.”
“DeepMoji — trained on 1.2 billion tweets, specifically learning emotional signals from naturally occurring social-media language; its creators report strong transfer performance for sarcasm and sentiment.”
I need a sentiment analyzer that detects sarcasm and does not just look for positive keywords.
RoBERTaHugging Face HubDeBERTa
How do we track sentiment? Is there a tool that monitors social media for citizen complaints about city services?
Zencity
AI mentioned DeepMoji in 0% of answers about DeepMoji and its rivals in the week of Sep 21.
Where DeepMoji ranks in AI
Brandwatch is the top alternative to DeepMoji
Excerpts where DeepMoji appeared in the AI's answer
DeepMoji — an open research model trained on 1.2B tweets to learn emotional signals; its creators report strong transfer to sentiment, emotion, and sarcasm tasks.
DeepMoji — trained on 1.2 billion tweets, specifically learning emotional signals from naturally occurring social-media language; its creators report strong transfer performance for sarcasm and sentiment.
