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Apply Datastreamer Entity Recognition to The Social Proxy Maps Datasets
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 The Social Proxy Maps Datasets
Find the location of any picture using AI. Obtain high precision geolocation information based on image recognition and AI analysis.
Quickly apply Datastreamer Entity Recognition to The Social Proxy Maps Datasets with a Datstreamer Pipeline.
Step 1
Start your Pipeline with The Social Proxy Maps Datasets
Web data is the foundation of any pipeline. You can leverage a wide range of data sources to power your pipelines—whether it's data from our partner network, your internal systems, or any publicly available web data.
Step 2
Add Datastreamer Entity Recognition 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 Entity Recognition and The Social Proxy Maps Datasets
Empower your data team with Datastreamer. Expand your web data Pipelines effortlessly and clear the operational hurdles that once limited your efficiency.