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Apply Datastreamer Entity Recognition to Socialgist Tumblr
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.
Quickly apply Datastreamer Entity Recognition to Socialgist Tumblr with a Datstreamer Pipeline.
Step 1
Start your Pipeline with Socialgist Tumblr
Web data is a critical input for enterprise data integration pipelines. Organizations can ingest data from multiple sources—including our partner network, internal enterprise systems, and publicly available web data—to create a unified, scalable data infrastructure.
Step 2
Add Datastreamer Entity Recognition 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 Entity Recognition and Socialgist Tumblr
Web data, unlocked. Datastreamer empowers you to expand your Pipelines as needed while removing friction from your operations.