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]

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.

How Datastreamer works

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.

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!