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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.
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.