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Apply Datastreamer Entity Recognition to Socialgist Disqus
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 Socialgist Disqus
A live firehose feed of Disqus news comments provided by Socialgist.
Quickly apply Datastreamer Entity Recognition to Socialgist Disqus with a Datstreamer Pipeline.
Step 1
Start your Pipeline with Socialgist Disqus
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 with an Operation
Make your web data work harder. With Datastreamer, you can enrich, filter, join, structure, store, or search data effortlessly using hundreds of out-of-the-box operations.
Step 3
That's it! You have just connected Datastreamer Entity Recognition and Socialgist Disqus
Web data, unlocked. Datastreamer empowers you to expand your Pipelines as needed while removing friction from your operations.