-	So difficult to follow the contribution of this paper. And it looks like an incremental engineering paper. The proposed method has been introduced in many papers, such as [1] Joshi, A., Bhat, A., Jain, A., Singh, A., & Modi, A. (2022, July). COGMEN: COntextualized GNN-based Multimodal Emotion Recognition. In Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (pp. 4148-4164).
-	The related work should be updated with more recent related works.
-	The experimental section needs some significance tests to further verify the effectiveness of the method put forward in the paper.
-	For the first time appearing in the text, the full name must be written, and abbreviations must be written in parentheses. When it appears in the abstract, it needs to be written once, and when it appears in the main text, it needs to be repeated again, that is, the full name+parentheses (abbreviations) should appear again.
-	Error analysis plays a crucial role in evaluating model performance and identifying potential issues. We encourage the authors to conduct error analysis in the paper and provide detailed explanations of the model's performance under different scenarios. Error analysis will aid in guiding subsequent improvements and expansions of the ERC research.
-	Writing mistakes are common across the overall paper, which could be found in “Typos, Grammar, Style, and Presentation Improvements”.
- Error analysis plays a crucial role in evaluating model performance and identifying potential issues. We encourage the authors to conduct error analysis in the paper and provide detailed explanations of the model's performance under different scenarios. Error analysis will aid in guiding subsequent improvements and expansions of the ERC research.