{
  "$type": "site.standard.document",
  "bskyPostRef": {
    "cid": "bafyreibezqfpmtd6e62r4jrbrzv6f5j2lrw44fi5ipk32oyqat2q25eo7q",
    "uri": "at://did:plc:pgryn3ephfd2xgft23qokfzt/app.bsky.feed.post/3mfjxik4idai2"
  },
  "path": "/t/model-llm-for-video-classification/173720#post_1",
  "publishedAt": "2026-02-23T15:00:24.000Z",
  "site": "https://discuss.huggingface.co",
  "textContent": "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.\nI’ve also extracted their .mp3 and transcribed the content of each video.\nI 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.\nIf you’ve tried something in similar area please share with me. Any suggestions is appreciated.\n\nThank you!",
  "title": "Model (LLM) for Video Classification"
}