• DOI:10.1145/3430984.3431037
Corpus ID: 220646872

It’s LeVAsa not LevioSA! Latent Encodings for Valence-Arousal Structure Alignment

@article{Nath2021ItsLN,
  title={It’s LeVAsa not LevioSA! Latent Encodings for Valence-Arousal Structure Alignment},
  author={Surabhi S. Nath and Vishaal Udandarao and Jainendra Shukla},
  journal={8th ACM IKDD CODS and 26th COMAD},
  year={2021}
}

Surabhi S. Nath, Vishaal Udandarao, Jainendra Shukla

Published 2021

Computer Science

8th ACM IKDD CODS and 26th COMAD

In recent years, great strides have been made in the field of affective computing. Several models have been developed to represent and quantify emotions. Two popular ones include (i) categorical models which represent emotions as discrete labels, and (ii) dimensional models which represent emotions in a Valence-Arousal (VA) circumplex domain. However, there is no standard for annotation mapping between the two labelling methods. We build a novel algorithm for mapping categorical and dimensional… CONTINUE READING

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