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We’re always happy with any other questions you might have. Send us an email at [email protected]

Enrich Open Measures Gab with Datastreamer Dominant Location Classifier

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

About Open Measures Gab

A Gab crawling product that includes data that was leaked due to a SQL vulnerability in 2021, and other posts and comments from Gab.

About Datastreamer Dominant Location Classifier

A specialized text classifier that operates on long-form content. It is meant to identify only one location out of all the pre-extracted mentioned locations in the long-form content and reports it as the dominant_location based on their frequency in the input document.

How Datastreamer works

Quickly enrich Open Measures Gab with Datastreamer Dominant Location Classifier with a Datstreamer Pipeline.

Step 1

Start your Pipeline with Open Measures Gab

Web data is a critical input for enterprise data integration pipelines. Organizations can ingest data from multiple sources—including our partner network, internal enterprise systems, and publicly available web data—to create a unified, scalable data infrastructure.

Step 2

Add Datastreamer Dominant Location Classifier to enrich

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  Open Measures Gab and Datastreamer Dominant Location Classifier

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!