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Movies, songs, memes, books, and other cultural references can be detected with this LLM-powered model in over 200+ languages. This classifier can instantly consume the content within a pipeline, optimize the content for speed and cost efficiency, and pass into LLM systems. Within the classifier, the LLM response is restructured, the post is augmented with the new metadata, and continues in the pipeline.
Spanning a diverse range of video platforms, including YouTube, Dailymotion, AcFun, Vimeo, Rumble, BiliBili, and more, this dataset delivers insights into viral trends, viewer engagement, and content strategies. It provides an in-depth understanding of what captures audience attention and drives video content trends. Perfect for media analysis, content strategy development, and exploring the influence of visual media on public opinion.
How Datastreamer works
Quickly apply Datastreamer Cultural Reference Recognition Model to Socialgist Videos with a Datstreamer Pipeline.
Enterprise data pipelines are built on the continuous flow of web data, which can originate from partner networks, internal infrastructures, or any external digital source.
Ready to move fast with web data? Datastreamer offers a full suite of operations—augment, join, store, filter, and more—so you can transform raw data into real insights instantly.
No more hassle with web data. Datastreamer allows you to boost your Pipelines on demand and tackle previously difficult operational issues head-on.
Add Datastreamer components to your data stack and explore its full capabilities
