Mutux at SemEval-2018 Task 1: Exploring Impacts of Context Information On Emotion Detection

Pan Du, Jian-Yun Nie


Abstract
This paper describes MuTuX, our system that is designed for task 1-5a, emotion classification analysis of tweets on SemEval2018. The system aims at exploring the potential of context information of terms for emotion analysis. A Recurrent Neural Network is adopted to capture the context information of terms in tweets. Only term features and the sequential relations are used in our system. The results submitted ranks 16th out of 35 systems on the task of emotion detection in English-language tweets.
Anthology ID:
S18-1052
Volume:
Proceedings of The 12th International Workshop on Semantic Evaluation
Month:
June
Year:
2018
Address:
New Orleans, Louisiana
Venue:
*SEMEVAL
SIGs:
SIGLEX | SIGSEM
Publisher:
Association for Computational Linguistics
Note:
Pages:
345–349
Language:
URL:
https://www.aclweb.org/anthology/S18-1052
DOI:
10.18653/v1/S18-1052
Bib Export formats:
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PDF:
http://aclanthology.lst.uni-saarland.de/S18-1052.pdf