XJSA at SemEval-2017 Task 4: A Deep System for Sentiment Classification in Twitter

Yazhou Hao, YangYang Lan, Yufei Li, Chen Li


Abstract
This paper describes the XJSA System submission from XJTU. Our system was created for SemEval2017 Task 4 – subtask A which is very popular and fundamental. The system is based on convolutional neural network and word embedding. We used two pre-trained word vectors and adopt a dynamic strategy for k-max pooling.
Anthology ID:
S17-2122
Volume:
Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017)
Month:
August
Year:
2017
Address:
Vancouver, Canada
Venue:
*SEMEVAL
SIGs:
SIGLEX | SIGSEM
Publisher:
Association for Computational Linguistics
Note:
Pages:
728–731
Language:
URL:
https://www.aclweb.org/anthology/S17-2122
DOI:
10.18653/v1/S17-2122
Bib Export formats:
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PDF:
http://aclanthology.lst.uni-saarland.de/S17-2122.pdf