Continuous Emotion Prediction was a challenge given in AVEC 2017. Three emotion dimension -arousal,valence & liking were predicted.LSTM-RNN model was used.Features were bag of words.Here various LSTM-RNN models were used to fit the data.1.Bidirectional LSTM,2.Multi tasking ,3.Many to many mapping.We got improvement from the baseline score as .562 for arousal,.543 for valence & .3512 for liking.
Continuous Emotion Prediction was a challenge given in AVEC 2017. Three emotion dimension -arousal,valence & liking were predicted.LSTM-RNN model was used.Features were bag of words.Here various LSTM-RNN models were used to fit the data.1.Bidirectional LSTM,2.Multi tasking ,3.Many to many mapping.We got improvement from the baseline score as .562 for arousal,.543 for valence & .3512 for liking.