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This paper describes our approach to the Emotion Intensity shared task. A parallel architecture of Convolutional Neural Net- work (CNN) and Long short term mem- ory networks (LSTM) alongwith two sets of features are extracted which aid the net- work in judging emotion intensity. Experi- ments on different models and various fea- tures sets are described and analysis on re- sults has also been presented.

Textmining at EmoInt-2017: A Deep Learning Approach to Sentiment Intensity Scoring of English Tweets