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Apply Datastreamer Entity Recognition to Twingly VK
Top companies trust Datastreamer to integrate, enrich, join, and apply their web data needs.
How Datastreamer works
Quickly apply Datastreamer Entity Recognition to Twingly VK with a Datstreamer Pipeline.
Quickly connect Datastreamer Entity Recognition and Twingly VK with a Datstreamer Pipeline.
Step 1
Start your Pipeline with Twingly VK
Web data is the starting point for any pipeline. You can use any number of data sources to power your Pipelines. You can use web data from our partner network, your own systems, or any web data.
Step 2
Add Datastreamer Entity Recognition with an Operation
To accelerate using your web data, you can apply any number of operations to the data. Enrich, augment, join, structure, filter, storage, search, or more! Datastreamer has hundreds of plug-and-play operations that you can apply.
Step 3
That's it! You have just connected Datastreamer Entity Recognition and Twingly VK
With Datastreamer it’s never been easier to use web data. You can dynamically expand your Pipelines with more capabilities, and you’ve now been able to solve your operational bottlenecks in working with web data.
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.
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