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Apply Datastreamer Dominant Location Classifier to Open Measures Scored (Win Communities)
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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.
About Open Measures Scored (Win Communities)
Collect and extract posts and comments made on all communities sub forums.
Quickly apply Datastreamer Dominant Location Classifier to Open Measures Scored (Win Communities) with a Datstreamer Pipeline.
Step 1
Start your Pipeline with Open Measures Scored (Win Communities)
To support enterprise-scale data integration, pipelines must ingest web data from varied origins, including trusted partners, internal databases, and external web-based assets.
Step 2
Add Datastreamer Dominant Location Classifier 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 Dominant Location Classifier and Open Measures Scored (Win Communities)
Web data, unlocked. Datastreamer empowers you to expand your Pipelines as needed while removing friction from your operations.