RIDDL at SemEval-2018 Task 1: Rage Intensity Detection with Deep Learning

SEMEVAL 2018 Venkatesh ElangoKaran Uppal

We present our methods and results for affect analysis in Twitter developed as a part of SemEval-2018 Task 1, where the sub-tasks involve predicting the intensity of emotion, the intensity of sentiment, and valence for tweets. For modeling, though we use a traditional LSTM network, we combine our model with several state-of-the-art techniques to improve its performance in a low-resource setting... (read more)

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