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Detect the user sentiment and cause of sentiment within content. It is able to process content 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 User Sentiment Classifier 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.
Datastreamer lets you accelerate your data usage by applying operations like structuring, enriching, joining, and filtering—choose from hundreds of prebuilt, plug-and-play options.
Supercharge your data workflows with Datastreamer. Add flexibility to your Pipelines and put an end to the common bottlenecks in handling web data.
Add Datastreamer components to your data stack and explore its full capabilities
