Abstract:This paper describes our approach to solve Semeval task 3: EmoContext; where, given a textual dialogue, i.e., a user utterance along with two turns of context, we have to classify the emotion associated with the utterance as one of the following emotion classes: Happy, Sad, Angry or Others. To solve this problem, we experiment with different deep learning models ranging from simple LSTM to relatively more complex attention with Bi-LSTM model. We also experiment with word embeddings such as ConceptNet along wit… Show more
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