Model (LLM) for Video Classification

I’ve collected a dataset of ~1300 short clipped videos between 0~50 seconds in Persian (a low-resource language) for sentiment and emotion classification tasks. I’ve also extracted their .mp3 and transcribed the content of each video. I could not find a paper in relevant area for sentiment analysis over videos using new LLMs (better say MLLMs). We prefer to apply in-context learning and prompting for this task. Fine-tuning might be expansive due to our hardware limitations. If you’ve tried something in similar area please share with me. Any suggestions is appreciated. Thank you!