MUSE2020 challenge report

TL;DR

This paper reports on the MUSE2020 challenge, presenting a solution for sentiment analysis in real-world scenarios that achieved top performance metrics on the validation set.

Contribution

The paper introduces a novel approach for sentiment analysis in real-world data, achieving state-of-the-art CCC scores in the MUSE2020 challenge.

Findings

Achieved CCC of 0.4670 for arousal and valence.

Outperformed baseline CCC scores of 0.3078.

Demonstrated effectiveness in real-world sentiment analysis.

Abstract

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.