Yuan at SemEval-2018 Task 1: Tweets Emotion Intensity Prediction using Ensemble Recurrent Neural Network

Min Wang, Xiaobing Zhou

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Abstract
We perform the LSTM and BiLSTM model for the emotion intensity prediction. We only join the third subtask in Task 1:Affect in Tweets. Our system rank 6th among all the teams.
Anthology ID:
S18-1031
Volume:
Proceedings of the 12th International Workshop on Semantic Evaluation
Month:
June
Year:
2018
Address:
New Orleans, Louisiana
Editors:
Marianna Apidianaki, Saif M. Mohammad, Jonathan May, Ekaterina Shutova, Steven Bethard, Marine Carpuat
Venue:
SemEval
SIG:
SIGLEX
Publisher:
Association for Computational Linguistics
Note:
Pages:
205–209
Language:
URL:
https://aclanthology.org/S18-1031
DOI:
10.18653/v1/S18-1031
Bibkey:
Cite (ACL):
Min Wang and Xiaobing Zhou. 2018. Yuan at SemEval-2018 Task 1: Tweets Emotion Intensity Prediction using Ensemble Recurrent Neural Network. In Proceedings of the 12th International Workshop on Semantic Evaluation, pages 205–209, New Orleans, Louisiana. Association for Computational Linguistics.
Cite (Informal):
Yuan at SemEval-2018 Task 1: Tweets Emotion Intensity Prediction using Ensemble Recurrent Neural Network (Wang & Zhou, SemEval 2018)
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PDF:
https://preview.aclanthology.org/teach-a-man-to-fish/S18-1031.pdf