We’re always happy with any other questions you might have. Send us an email at [email protected]
Apply Datastreamer Entity Recognition to Twingly VK
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 Twingly VK
Twingly offers an official VK Search API that includes all public posts, shares and comments, a total of 20 million messages per day. Get access today to find out what is said about your brand, customers or competitors in the Russian market.
Quickly apply Datastreamer Entity Recognition to Twingly VK with a Datstreamer Pipeline.
Step 1
Start your Pipeline with Twingly VK
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
Datastreamer puts data control in your hands. Apply hundreds of operations—filter, enrich, structure, join, and beyond—to unlock the full value of your web data.
Step 3
That's it! You have just connected Datastreamer Entity Recognition and Twingly VK
Empower your data team with Datastreamer. Expand your web data Pipelines effortlessly and clear the operational hurdles that once limited your efficiency.