KGPChamps at SemEval-2019 Task 3: A deep learning approach to detect emotions in the dialog utterances.

Jasabanta PatroNitin ChoudharyKalpit ChittoraAnimesh Mukherjee

This paper describes our approach to solve \textit{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: \textit{Happy, Sad, Angry} or \textit{Others}. To solve this problem, we experiment with different deep learning models ranging from simple bidirectional LSTM (Long and short term memory) model to comparatively complex attention model... (read more)

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