M-SENA is an open-sourced platform for Multimodal Sentiment Analysis. It aims
to facilitate advanced research by providing flexible toolkits, reliable
benchmarks, and intuitive demonstrations. The platform features a fully modular
video sentiment analysis framework consisting of data management, feature
extraction, model training, and result analysis modules. In this paper, we
first illustrate the overall architecture of the M-SENA platform and then
introduce features of the core modules. Reliable baseline results of different
modality features and MSA benchmarks are also reported. Moreover, we use model
evaluation and analysis tools provided by M-SENA to present intermediate
representation visualization, on-the-fly instance test, and generalization
ability test results. The source code of the platform is publicly available at
this https URL.

M-SENA 是一个开源的平台，旨在提供灵活的工具包、可靠的基准测试和直观的演示，其中包括完全模块化的视频情感分析框架，本文介绍了该平台的总体架构以及核心模块的特性，并报告了不同模态特征和 MSA 基准测试的可靠基线结果，同时使用 M-SENA 提供的模型评估和分析工具来展示中间表示可视化、实例测试以及泛化能力测试结果。