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Seernet at EmoInt-2017: Tweet Emotion Intensity Estimator
August 21, 2017 ยท Declared Dead ยท ๐ WASSA@EMNLP
"No code URL or promise found in abstract"
Evidence collected by the PWNC Scanner
Authors
Venkatesh Duppada, Sushant Hiray
arXiv ID
1708.06185
Category
cs.CL: Computation & Language
Citations
23
Venue
WASSA@EMNLP
Last Checked
4 months ago
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.
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