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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.
Find out the subjects the users are talking about. Classify content by topic. Intelligently deduce geographic region.
Super granular. Supports IPTC, IAB, and Wikidata IDs.
Also known as: theme identification, subject detection, or key topic recognition. Topic extraction determines the dominant topics in the text.
Tisane provides the topics at a document level.
When a particular word has multiple interpretations, the sense of the word must be determined in the current context. For example, Jupiter is a planet and a Roman deity. Whether it's the planet or the deity, depends on the text.
For example, the sentence Juno is the wife of Jupiter refers to the deity. Tisane determines the relevant topics as Roman mythology, supernatural (gods), relationship, and family (since the spousal connection is mentioned).
There are common taxonomy standards that Tisane can provide::
native - native Tisane topic names; based on standard English terms for the topic. The default standard.iptc_code - codes of the IPTC (International Press Telecommunications Council) Media Topics classification - a standard used in the media.iptc_description - English descriptions of the IPTC codes.iab_code - codes of the IAB (Interactive Advertising Bureau) content taxonomy.iab_description - English descriptions of the IAB codes.wikidata - Wikidata codes (usually of the form Qnnnnn, e.g. Q123).How Datastreamer works
Quickly enrich Vital4 Criminal Record Data with Tisane Topic Extraction with a Datstreamer Pipeline.
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