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Apply Datastreamer Entity Recognition to Vital4 Criminal Record Data
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How Datastreamer works
Quickly apply Datastreamer Entity Recognition to Vital4 Criminal Record Data with a Datstreamer Pipeline.
Quickly connect Datastreamer Entity Recognition and Vital4 Criminal Record Data with a Datstreamer Pipeline.
Step 1
Start your Pipeline with Vital4 Criminal Record Data
Web data is the starting point for any pipeline. You can use any number of data sources to power your Pipelines. You can use web data from our partner network, your own systems, or any web data.
Step 2
Add Datastreamer Entity Recognition with an Operation
To accelerate using your web data, you can apply any number of operations to the data. Enrich, augment, join, structure, filter, storage, search, or more! Datastreamer has hundreds of plug-and-play operations that you can apply.
Step 3
That's it! You have just connected Datastreamer Entity Recognition and Vital4 Criminal Record Data
With Datastreamer it’s never been easier to use web data. You can dynamically expand your Pipelines with more capabilities, and you’ve now been able to solve your operational bottlenecks in working with web data.
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 Vital4 Criminal Record Data
Vital4 delivers unrivalled coverage, accuracy, compliance, and competitive pricing of criminal data collected daily from thousands of sources at the federal, state, county, and local levels. Sources include Criminal Prosecutions, Arrest Records, Warrant Lists, Criminal Newsletters & Press Releases, Most Wanted, Sex Offenders, Corrections/Inmate Data, Child Support Violations, Open Court Cases, Early Release & Parole Lists, Career Offenders, and more. Data is updated in real-time to provide an accurate report of all court records in a certain region or jurisdiction, not just convictions.
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