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Enrich Open Measures Odnoklassniki with Datastreamer Entity Recognition

Top companies trust Datastreamer to integrate, enrich, join, and apply their web data needs.

About Open Measures Odnoklassniki

Open Measures collection on OK(Odnoklassniki) began by aggregating around 5,000 OK group URLs that appeared across the existing collections and fed these into the crawler. The crawler then spiders across these groups by collecting posts, comments and group members.

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.

 

How Datastreamer works

Quickly enrich Open Measures Odnoklassniki with Datastreamer Entity Recognition with a Datstreamer Pipeline.

Step 1

Start your Pipeline with Open Measures Odnoklassniki

Effective enterprise integration requires diverse data inputs. Web data—whether from partner ecosystems, proprietary systems, or public sources—offers the scale and flexibility needed to drive data pipelines.

Step 2

Add Datastreamer Entity Recognition to enrich

Ready to move fast with web data? Datastreamer offers a full suite of operations—augment, join, store, filter, and more—so you can transform raw data into real insights instantly.

Step 3

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

No more hassle with web data. Datastreamer allows you to boost your Pipelines on demand and tackle previously difficult operational issues head-on.

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!