AI RESEARCH
Computational emotion analysis with multimodal LLMs: Current evidence on an emerging methodological opportunity
arXiv CS.CL
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ArXi:2512.10882v4 Announce Type: replace Research increasingly leverages audio-visual materials to analyze emotions in political communication. Multimodal large language models (mLLMs) promise to enable such analyses through in-context learning. However, we lack systematic evidence on whether current mLLMs can reliably measure emotions in real-world political settings.