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It focusses to classify emotion of a country (tweets), based on sentiment attached to them, with the aim to classify the tweets based on one or more of 11 emotions

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Twitter Emotion Classification

This notebook is implementation of the deep learning model used in my website : mood-of-the-world. It focusses to classify emotion of a country (tweets), based on sentiment attached to them, with the aim to classify the tweets based on one or more of 11 emotions: the eight Plutchik Categories:

  • joy,
  • sadness,
  • anger,
  • fear,
  • trust,
  • disgust,
  • surprise,
  • anticipation
    plus
  • love,
  • optimism,
  • pessimism

using deep learning methods to perform mutilabel classification of the text.

Tweet data set was provided by SemEval 2018 Task 1 Affect in Tweets. image

For detailed implementation visit my notebook

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It focusses to classify emotion of a country (tweets), based on sentiment attached to them, with the aim to classify the tweets based on one or more of 11 emotions

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