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NLPZZX at SemEval-2018 Task 1: Using Ensemble Method for Emotion and Sentiment Intensity Determination
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
doi:10.18653/v1/s18-1015
dblp:conf/semeval/ZhangZW18
fatcat:4vuyo6fgtvdq3d4origrm5vo3e