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Enrich Socialgist Tumblr with Datastreamer Entity Recognition
Top companies trust Datastreamer to integrate, enrich, join, and apply their web data needs.
About Socialgist Tumblr
Tumblr coverage from Socialgist.
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.
Quickly enrich Socialgist Tumblr with Datastreamer Entity Recognition with a Datstreamer Pipeline.
Step 1
Start your Pipeline with Socialgist Tumblr
Web data serves as the foundational input for any data pipeline. Pipelines can be powered by diverse data sources, including datasets from our partner ecosystem, proprietary internal systems, or any externally accessible web data.
Step 2
Add Datastreamer Entity Recognition to enrich
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 Socialgist Tumblr and Datastreamer Entity Recognition
Empower your data team with Datastreamer. Expand your web data Pipelines effortlessly and clear the operational hurdles that once limited your efficiency.