torchMoji and DeepMoji

The torchMoji implementation is a PyTorch port of the original DeepMoji model, making them ecosystem siblings where torchMoji provides an alternative framework-specific implementation of the same underlying architecture.

torchMoji
51
Established
DeepMoji
51
Established
Maintenance 0/25
Adoption 10/25
Maturity 16/25
Community 25/25
Maintenance 0/25
Adoption 10/25
Maturity 16/25
Community 25/25
Stars: 922
Forks: 189
Downloads:
Commits (30d): 0
Language: Python
License: MIT
Stars: 1,551
Forks: 311
Downloads:
Commits (30d): 0
Language: Python
License: MIT
Stale 6m No Package No Dependents
Stale 6m No Package No Dependents

About torchMoji

huggingface/torchMoji

😇A pyTorch implementation of the DeepMoji model: state-of-the-art deep learning model for analyzing sentiment, emotion, sarcasm etc

This project helps you understand the emotions, sentiment, and even sarcasm expressed in text. You input written content, and it outputs predictions about the underlying emotional tone or converts text into a numerical representation of its emotional features. Social media managers, customer service analysts, and market researchers can use this to gauge public opinion or customer feelings.

social-media-analysis customer-feedback sentiment-analysis market-research brand-reputation

About DeepMoji

bfelbo/DeepMoji

State-of-the-art deep learning model for analyzing sentiment, emotion, sarcasm etc.

DeepMoji helps you analyze text to understand the emotions expressed within it. By inputting written text, it can predict associated emojis, convert text into emotional feature vectors, or be adapted to classify emotions for specific datasets. This is useful for data scientists or researchers working with large volumes of text to understand sentiment, emotion, and even sarcasm.

sentiment-analysis emotion-detection social-listening text-analytics natural-language-processing

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