Seernet at EmoInt-2017: Tweet Emotion Intensity Estimator

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Authors Sushant Hiray, Venkatesh Duppada
Journal/Conference Name WS 2017 9
Paper Category
Paper Abstract The paper describes experiments on estimating emotion intensity in tweets using a generalized regressor system. The system combines lexical, syntactic and pre-trained word embedding features, trains them on general regressors and finally combines the best performing models to create an ensemble. The proposed system stood 3rd out of 22 systems in the leaderboard of WASSA-2017 Shared Task on Emotion Intensity.
Date of publication 2017
Code Programming Language Jupyter Notebook

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