Emotion Intensities in Tweets

  title={Emotion Intensities in Tweets},
  author={Saif Mohammad and Felipe Bravo-Marquez},
This paper examines the task of detecting intensity of emotion from text. We create the first datasets of tweets annotated for anger, fear, joy, and sadness intensities. We use a technique called best–worst scaling (BWS) that improves annotation consistency and obtains reliable fine-grained scores. We show that emotion-word hashtags often impact emotion intensity, usually conveying a more intense emotion. Finally, we create a benchmark regression system and conduct experiments to determine… CONTINUE READING
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Best-worst scaling: A model for the largest difference judgments

  • Jordan J. Louviere
  • 1991
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