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Implementation from scratch of an emotion classifier and fine tuned RoBERTa for Irony Detection

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CLTeamLab2021

Phase 1: baseline

  • Task: Emotion classification
  • Data: ISEAR (single-labeled, self-reported)
  • Implemented from scratch:
    • pre-processing, data cleaning, normalisation
    • vectorisation
    • multi-class perceptron
    • evaluation

Phase 2: advanced methods

  • Tasks: Emotion classification with irony
  • Data:
    • ISEAR for emoiton classification
    • SemEval 2018 for irony detection
    • TweetEval for emotion classification, emotion classification with irony, irony detection with emotions
  • Classifiers: RoBERTa Transformers

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Implementation from scratch of an emotion classifier and fine tuned RoBERTa for Irony Detection

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