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Apply Datastreamer Entity Recognition to Socialgist TikTok
Top companies trust Datastreamer to integrate, enrich, join, and apply their web data needs.
About Datastreamer Entity Recognition
This Named Entity Recognition classifier helps reduce the noise in the query results. It extracts the named entity from a short-form English content. The output would cover three classes of entities: Persons, Organization, and Location.
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.
Quickly apply Datastreamer Entity Recognition to Socialgist TikTok with a Datstreamer Pipeline.
Step 1
Start your Pipeline with Socialgist TikTok
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.
Step 2
Add Datastreamer Entity Recognition with an Operation
Boost your web data capabilities by applying a wide range of operations—enrich, augment, join, structure, filter, store, search, and more. With Datastreamer, you get access to hundreds of plug-and-play tools to power your workflows.
Step 3
That's it! You have just connected Datastreamer Entity Recognition and Socialgist TikTok
Datastreamer makes working with web data simpler than ever. Easily enhance your Pipelines with new features and finally eliminate the operational roadblocks that once held you back.