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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.

How Datastreamer works

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.

Experience Seamless Data Integration Yourself

Add Datastreamer components to your data stack and explore its full capabilities

Try it Now

Questions?

We’re always happy with any other questions you might have. Send us an email at [email protected]

We look forward to connecting with you.

Let us know if you're an existing customer or a new user, so we can help you get started!