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Apply Datastreamer Entity Recognition to The Social Proxy Social Media 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 Social Media Datasets
Find out who talks about what, where and when. Turn social media data into actionable insights for real-time decision making.
Quickly apply Datastreamer Entity Recognition to The Social Proxy Social Media Datasets with a Datstreamer Pipeline.
Step 1
Start your Pipeline with The Social Proxy Social Media Datasets
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 The Social Proxy Social Media Datasets
Web data, unlocked. Datastreamer empowers you to expand your Pipelines as needed while removing friction from your operations.