MUSE2020 challenge report
arXiv:2009.14059v1
Originality Synthesis-oriented
AI Analysis
This is an incremental improvement for sentiment analysis in real-world applications.
The paper tackled sentiment analysis in real-world situations by participating in the MUSE2020 challenge, achieving the best CCC performance of 0.4670 for arousal and 0.3571 for valence on the validation set, outperforming the baseline of 0.3078.
This paper is a brief report for MUSE2020 challenge. We present our solution for Muse-Wild sub challenge. The aim of this challenge is to investigate sentiment analysis method in real-world situation. Our solutions achieve the best CCC performance of 0.4670, 0.3571 for arousal, and valence respectively on the challenge validation set, which outperforms the baseline system with corresponding CCC of 0.3078 and 1506.