Ontology-Based Topic Detection

FREEMIUM
By Proxem
Updated 6 months ago
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Ontology-Based Topic Detection API Documentation

A text analysis service to find out what any text is about by extracting the most relevant Wikipedia’s categories through a patented NLP technology

View API Details
POSTGet categories
POSTGet corpus categories
POSTGet categories

Returns the top themes associated to the given text

Header Parameters
X-RapidAPI-HostSTRING
REQUIRED
X-RapidAPI-KeySTRING
REQUIRED
AcceptSTRING
OPTIONALThe expected type of the response
Required Parameters
Document
REQUIREDThe document to analyze
Optional Parameters
nbtopcatNUMBER
OPTIONALThe max numbers of expected categories (max 50)
cleanupBOOLEAN
OPTIONALTry to remove the less useful categories (default to true)
srclangSTRING
OPTIONALSet the language of the given document (prevent the auto-detection)
edgesBOOLEAN
OPTIONALSet to true to receive parent/child relations between categories
Code Snippet
Response ExampleSchema

Install SDK for (Node.js)Unirest

OAuth2 Authentication
Client ID
Client Secret
OAuth2 Authentication