NLPZZX at SemEval-2018 Task 1: Using Ensemble Method for Emotion and Sentiment Intensity Determination

Zhengxin Zhang, Qimin Zhou, Hao Wu
2018 Proceedings of The 12th International Workshop on Semantic Evaluation  
In this paper, we put forward a system that competed at SemEval-2018 Task 1: "Affect in Tweets". Our system uses a simple yet effective ensemble method which combines several neural network components. We participate in two subtasks for English tweets: EI-reg and V-reg. For two subtasks, different combinations of neural components are examined. For EI-reg, our system achieves an accuracy of 0.727 in Pearson Correlation Coefficient (all instances) and an accuracy of 0.555 in Pearson Correlation
more » ... oefficient (0.5-1). For V-reg, the achieved accuracy scores are respectively 0.835 and 0.670.
doi:10.18653/v1/s18-1015 dblp:conf/semeval/ZhangZW18 fatcat:4vuyo6fgtvdq3d4origrm5vo3e