Using millions of emoji occurrences to learn any-domain representations for detecting sentiment, emotion and sarcasm
Paper • 1708.00524 • Published • 2
Clone of Uberduck/torchmoji
The conversion of the original model to Torch was done by 🤗: https://github.com/huggingface/torchMoji
Not really a Bert model. Or I just don't know how to set Interference API correctly, as it gives wrong predictions when compared to the 🤗 Space.
Paper: https://arxiv.org/abs/1708.00524
Dataset:
- Mainly millions of tweets created around and before -2017 which included use of emojis
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