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Enrich WebSightLine Threads with Datastreamer Dominant Location Classifier
Top companies trust Datastreamer to integrate, enrich, join, and apply their web data needs.
About WebSightLine Threads
Keyword-based search of dynamic Threads data.
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.
Quickly enrich WebSightLine Threads with Datastreamer Dominant Location Classifier with a Datstreamer Pipeline.
Step 1
Start your Pipeline with WebSightLine Threads
For robust enterprise data integration, web data acts as a foundational source. It can be drawn from a variety of channels—including third-party partners, internal applications, and public web repositories.
Step 2
Add Datastreamer Dominant Location Classifier to enrich
To accelerate using your web data, you can apply any number of operations to the data. Enrich, augment, join, structure, filter, storage, search, or more! Datastreamer has hundreds of plug-and-play operations that you can apply.
Step 3
That's it! You have just connected WebSightLine Threads and Datastreamer Dominant Location Classifier
With Datastreamer it’s never been easier to use web data. You can dynamically expand your Pipelines with more capabilities, and you’ve now been able to solve your operational bottlenecks in working with web data.