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Enrich Socialgist Disqus with Datastreamer User Behaviour Classifier

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

About Socialgist Disqus

A live firehose feed of Disqus news comments provided by Socialgist.

About Datastreamer User Behaviour Classifier

Detect and classify the behaviours that a user is describing. In the detection of threats, product returns, activities, and other behaviours; the terms and keywords used to describe are not clear and specific. This classifier can instantly consume the content within a pipeline, optimize the content for speed and cost efficiency, and pass into LLM systems. Within the classifier, the LLM response is restructured, the post is augmented with the new metadata, and continues in the pipeline.

How Datastreamer works

Quickly enrich Socialgist Disqus with Datastreamer User Behaviour Classifier with a Datstreamer Pipeline.

Step 1

Start your Pipeline with Socialgist Disqus

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 User Behaviour Classifier to enrich

Take your web data further. From enrichment to filtering and everything in between, Datastreamer’s vast library of operations helps you act on your data fast—with no coding required.

Step 3

That's it! You have just connected  Socialgist Disqus and Datastreamer User Behaviour Classifier

Datastreamer takes the pain out of web data workflows. Seamlessly scale your Pipelines and resolve persistent operational challenges with ease.

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!