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Topicalizer API

Note: The Topicalizer API is no longer available.
This profile is retained for historical purposes only.

Topicalizer is a text analysis and topic extraction tool. Based on methods of computational linguistics it provides various analyses for a given URL or plain text. These comprise, amongst others, language recognition, lexical density, keywords, collocations, word and phrase frequencies, readability and a short abstract. Topicalizer can, for instance, be used for automatically tagging a website or blog entry with semantic information or for retrieving summaries for web pages.

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Topicalizer: Highlights

Summary
Document analysis service
Category
Other
Tags
Protocols
REST
Data Formats
XML
API home
http://www.topicalizer.com/api/ 

Topicalizer: Specifications

Functionality

Client Install Required
No  
Service Endpoint
http://www.topicalizer.com/api/

Signup and Licensing

Signup Requirements
None  
Developer Key Required
 
Account Required
 
Commercial Licensing
 
Provider
topicalizer.com  
Non-Commercial Lic.
 
Data Licensing
 
Usage Fees
 
Program Fees
 
Certification Program
 
Usage Limits
 
Terms of Service
General Terms of Service 

Security

Authentication Model
None 
SSL Support
 
Read-only Without Login
Yes 

Support

Vendor API Kits
 
Community API Kits
 
API Blog
 
Site Blog
 
API Forum
 
Developer Support
 
Console URL
 

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Mashups, Developers & Source Code

Mashups using Topicalizer[ Add a mashup ]

Developers using Topicalizer[ Add me ]

  • christian.maehler

Source Code for Topicalizer[ Add a source code link ]

There are no source code libraries or how-to links for Topicalizer. If you know one why not add it?

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Comments 

December 02, 2006
at 12:29
Comment by: Björn Wilmsmann

The Topicalizer API now sports yet another method named getSemWeb, which build a web of related terms for a given term by making use of the Google API und Wikipedia.

May 04, 2006
at 01:06
Comment by: Björn Wilmsmann

The Topicalizer API now has a another new method called getCoOccurrences, which makes use of large corpora of different text categories in order to guess, which words co-occur most frequently with a given text.

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