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SPIRITT
TextRazorTextRazor
Meaning, extracted.
SPIRITT uses TextRazor to pull entities, topics and relations out of any text, classify it with standard or custom taxonomies and recognize your own product and competitor names, then tags archives, routes tickets and builds knowledge graphs.
What you can do with TextRazor.
Entities and topics
People, companies, places, topics and relations extracted in one analysis.
Classification your way
Standard taxonomies or custom classifiers you define and update.
Your vocabulary recognized
Custom dictionaries teach it product, competitor and domain terms.
Works with your other apps.
Get started in three steps.
01
Open your workspace
Start a SPIRITT workspace for your content, support or research team.
02
Connect TextRazor
Connect TextRazor so SPIRITT can analyze and classify your text.
03
Name the taxonomy
Share your categories and terms. SPIRITT trains, tags and routes.
Hand over a mission.
Choose a mission. Make it yours.
Put TextRazor to work.
Turn text into structure.
Questions
TextRazor, with SPIRITT.
01What can SPIRITT do with TextRazor?+
Extract entities, topics and relations, classify text with standard or custom classifiers, manage custom entity dictionaries and act on the results across your content, support and research tools.
02Can it use our own categories?+
Yes. SPIRITT creates and updates custom classifiers with your categories, then classifies text against them.
03Can it recognize our product names?+
Yes. Custom dictionaries add your products, competitors and domain terms to entity recognition.
04How much text can it handle?+
Up to 200 KB of text per request, with cleanup for HTML. SPIRITT splits longer documents.
05Does it work in other languages?+
Yes. It detects language automatically, and SPIRITT can force a specific language when needed.
06How do I get started?+
Open a workspace, connect TextRazor and tell SPIRITT which text to analyze and how to use the results.