Discovering Emerging Short Form Video Trends with Clustering and HitL

Clustering algorithms can be used to discover emerging trends in short-form video content. This approach automatically groups videos based on similarities, helping to identify new patterns. A Human-in-the-Loop (HitL) process is incorporated to refine and validate the clusters identified by the models. This combination of automated clustering and human oversight provides a scalable method for trend detection, though the main body of the article is not available.