text2emoji

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Text2Emoji is a lightweight semantic emoji prediction model that suggests emojis based on the meaning of input text. It uses BERT-base-uncased embeddings and cosine similarity to match text with appropriate emoji descriptions. The model is especially useful for messaging apps, social media platforms, and creative writing tools to automatically enrich text with relevant emojis.

Model Details

Model Description

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Uses

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Intended Use • Predict emojis for messages, tweets, or chat apps. • Help suggest emojis in user interfaces. • Aid creativity and expressive writing

Direct Use

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Out-of-Scope Use

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Bias, Risks, and Limitations

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Recommendations

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Training Details

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Training Procedure

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Preprocessing [optional]

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Training Hyperparameters

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Evaluation

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Testing Data, Factors & Metrics

Testing Data

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Factors

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Results

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Summary

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Environmental Impact

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Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).

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Technical Specifications [optional]

Model Architecture and Objective

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Glossary [optional]

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