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Apply Datastreamer Entity Recognition to Vetric Social Sources
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 Vetric Social Sources
Multi-method collection of real-time social media data. Their APIs are ideal for market research, content curation, competitive intelligence, social media monitoring, analyzing live event promotions and influencer outreach.
Quickly apply Datastreamer Entity Recognition to Vetric Social Sources with a Datstreamer Pipeline.
Step 1
Start your Pipeline with Vetric Social Sources
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 with an Operation
Supercharge your data pipeline! Apply operations like enrichment, structuring, joining, and filtering—Datastreamer gives you instant access to hundreds of plug-and-play data tools.
Step 3
That's it! You have just connected Datastreamer Entity Recognition and Vetric Social Sources
Say goodbye to bottlenecks. Datastreamer lets you unlock the full power of web data by giving you the tools to dynamically grow your Pipelines.