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11mo ago

AI Model Achieves 75% Accuracy in Detecting Sarcasm Using TV Show Data

Researchers from the University of Groningen have developed a neural network trained on multimodal cues from sitcoms to identify sarcasm.

Overview

  • The AI model was trained using scenes from 'Friends' and 'The Big Bang Theory.'
  • Researchers utilized the Multimodal Sarcasm Detection Dataset (MUStARD) for training.
  • The model integrates text, audio, and emotional cues for sarcasm detection.
  • It achieves approximately 75% accuracy in identifying sarcasm in unlabelled data.
  • Potential applications include improving communication for AI assistants and identifying negative tones in language.