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Converting Sentiment Annotated Data to Emotion Annotated Data
Given a sentence and its sentiment information, recognize the best possible emotion for it.
Retrofitting of Pre-trained Emotion Words with VAD-dimensions and the Plutchik Emotions
This is a lexicons based approach that uses the Valence, Arousal and Dominance (VAD) values, and the Plutchik’s emotions to incorporate the emotion information in pre-trained word embeddings using post-training processing.
Lip Reading Using Convolutional Auto Encoders as Feature Extractor
On BBC's LRW the proposed model performed better than the baseline model of convolutional neural networks and Long short-term memory model (Garg et al., 2016).
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