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Apply Datastreamer Dominant Location Classifier to Open Measures Poal
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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 Poal
Collect and extract comments, video metadata and user profiles on Poal.
Quickly apply Datastreamer Dominant Location Classifier to Open Measures Poal with a Datstreamer Pipeline.
Step 1
Start your Pipeline with Open Measures Poal
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
Datastreamer puts data control in your hands. Apply hundreds of operations—filter, enrich, structure, join, and beyond—to unlock the full value of your web data.
Step 3
That's it! You have just connected Datastreamer Dominant Location Classifier and Open Measures Poal
Empower your data team with Datastreamer. Expand your web data Pipelines effortlessly and clear the operational hurdles that once limited your efficiency.