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Apply Datastreamer Entity Recognition to Socialgist Broadcast News
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 Broadcast News
DVR-based closed-caption text harvesting, covering news from the United States.
Quickly apply Datastreamer Entity Recognition to Socialgist Broadcast News with a Datstreamer Pipeline.
Step 1
Start your Pipeline with Socialgist Broadcast News
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 Entity Recognition with an Operation
Want to do more with your web data? Datastreamer offers hundreds of ready-to-use operations—filter, join, enrich, search, and more—to help you process and transform data at speed.
Step 3
That's it! You have just connected Datastreamer Entity Recognition and Socialgist Broadcast News
With Datastreamer, web data integration is effortless. Add new capabilities to your Pipelines dynamically and solve the operational issues that used to complicate your process.