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EmotionX AR: CNN DCNN autoencoder based Emotion Classifier

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Academic year: 2020

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Figure

Figure 1: Architecture Overview
Table 1: Summary of feature groups used in our model.
Table 3: Accuracy(%) for models trained on Friends + EmotionPush data, tested on individualvalidation sets.
Table 5: An example dialogue from Friendsdataset with corresponding predictions and labels.

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