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Text emotions classification is the problem of assigning emotion to a text by understanding the context and the emotion behind the text. One real-world example is the keyboard of an iPhone that recommends the most relevant emoji by understanding the text.

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Text Emotions Classification

A deep learning model to classify text into emotional categories.

To use:

  1. Place your dataset in data/train.txt
  2. Run pip install -r requirements.txt
  3. Execute python src/main.py to train
  4. Use python src/predict.py for predictions

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Text emotions classification is the problem of assigning emotion to a text by understanding the context and the emotion behind the text. One real-world example is the keyboard of an iPhone that recommends the most relevant emoji by understanding the text.

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