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Multimodal emotion classification

Multimodal emotion classification from the MELD dataset. Developed at the PSI:ML7 Machine Learning Institute by Brando Koch and Nikola Andrić Mitrović under the supervision of Tamara Stanković from Microsoft.

Note: README is still being developed.

Setup

Using Miniconda/Anaconda:

  1. cd path_to_repo
  2. conda env create
  3. conda activate multimodal-emotion-detection

Multimodal Architecture

MELD dataset

Emotion shift phenomenon

Data distribution

Paper baselines

References

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Multimodal emotion classification from the MELD dataset

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  • Jupyter Notebook 83.0%
  • Python 17.0%