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Enrich Open Measures MeWe with Datastreamer Dominant Location Classifier
Top companies trust Datastreamer to integrate, enrich, join, and apply their web data needs.
About Open Measures MeWe
Collect and extract posts, comments and user profiles on MeWe.
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 Open Measures MeWe with Datastreamer Dominant Location Classifier with a Datstreamer Pipeline.
Step 1
Start your Pipeline with Open Measures MeWe
Enterprise-grade data pipelines begin with flexible data ingestion. Web data—sourced from partners, internal platforms, or the open internet—provides the raw inputs needed for integration and transformation.
Step 2
Add Datastreamer Dominant Location Classifier to enrich
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 Open Measures MeWe and Datastreamer Dominant Location Classifier
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.