bfelbo/DeepMoji
State-of-the-art deep learning model for analyzing sentiment, emotion, sarcasm etc.
Built on Keras with Theano/TensorFlow backends, the model leverages 1.2 billion tweets to learn emoji-emotion associations, then applies transfer learning for fine-tuning on custom datasets. Extracts 2304-dimensional emotional feature vectors and predicts emoji distributions for new text, enabling both direct emoji classification and downstream task adaptation. A PyTorch alternative (torchMoji) is available via HuggingFace for modern workflows.
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Aug 02, 2024
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