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Enrich Socialgist TikTok with Datastreamer Cultural Reference Recognition Model
Top companies trust Datastreamer to integrate, enrich, join, and apply their web data needs.
About Socialgist TikTok
A targeted TikTok crawling product focused on collecting user and hashtag pages. With the proprietary discovery algorithm, Socialgist automates the tracking of additional pages. Video transcription is also available.
About Datastreamer Cultural Reference Recognition Model
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.
Quickly enrich Socialgist TikTok with Datastreamer Cultural Reference Recognition Model with a Datstreamer Pipeline.
Step 1
Start your Pipeline with Socialgist TikTok
In modern enterprise architecture, web data fuels integration pipelines by bridging internal systems with external data sources such as partner networks and publicly accessible web content.
Step 2
Add Datastreamer Cultural Reference Recognition Model to enrich
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.
Step 3
That's it! You have just connected Socialgist TikTok and Datastreamer Cultural Reference Recognition Model
Supercharge your data workflows with Datastreamer. Add flexibility to your Pipelines and put an end to the common bottlenecks in handling web data.