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Apply Datastreamer Entity Recognition to Open Measures RuTube

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 Open Measures RuTube

Collect and extract video metadata and comments based on a seed set of video links.

How Datastreamer works

Quickly apply Datastreamer Entity Recognition to Open Measures RuTube with a Datstreamer Pipeline.

Step 1

Start your Pipeline with Open Measures RuTube

Enterprise-grade data pipelines begin with flexible data ingestion. Web data—sourced from partners, internal platforms, or the open internet—provides the raw inputs needed for integration and transformation.

Step 2

Add Datastreamer Entity Recognition with an Operation

Accelerate your web data workflows with Datastreamer. Whether it's enriching, joining, filtering, or storing your data, choose from hundreds of pre-built operations ready to deploy instantly.

Step 3

That's it! You have just connected  Datastreamer Entity Recognition and Open Measures RuTube

Using web data has never been this easy—thanks to Datastreamer. Expand your Pipelines on the fly and overcome the workflow challenges that once slowed you down.

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!