MUSE2020 challenge report
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.
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.
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.
arxiv.org