This enhancement to the Categorization Service allows us to continue to assist our media, ecommerce, advertising, CRM, and other API users to automatically organize their content.
Rochester, NY (PRWEB) October 19, 2010
TextWise is proud to announce the release of an enhanced categorization scheme for the SemanticHacker API Categorization Service. The update to the Categorization Service provides better text categorization and more flexibility to configure categories.
“We want to optimize the SemanticHacker API to the fullest extent for all our users,” said Mary McKenna, TextWise CEO. “This enhancement to the Categorization Service allows us to continue to assist our media, ecommerce, advertising, CRM, and other API users to automatically organize their content.”
The update to the API Categorization Service call includes:
- New terminology from across the web included in the 2010 Categorization semantic dictionary
- More granularity in the category scheme
- Removal of noisy ‘Regional’ (geographic) categories
- Option to use either long or short category labels
- Option to specify the number of categories returned (1 – 5)
The Categorization Service update will be rolled out to all users by Tuesday, October 19th. This change does not affect the Signatures, Match, or Concept Services on the API.
About SemanticHacker API
SemanticHacker API provides developers and enterprises access to proprietary Semantic Signature technology. Semantic Signatures provide a unique way to represent, analyze, and match multiple concepts and topics in text.
There are four services on SemanticHacker API:
1. A Signature Service call that analyzes text or a web page and returns a Semantic Signature, including multiple weighted semantic dimensions assigned to the text.
2. A Match Service call that analyzes the text or Web page that returns a Semantic Signature and a relevance ranked match list.
3. A Category Service call that identifies topic categories for the text or web page, ordered by category weight.
4. A Concept Service call that provides machine readable cloud tags based the on concepts in the text supporting content navigation and quick text summaries.
About TextWise (textwise.com)
TextWise developed the first scalable, automated, semantic similarity search technology enabling the web to move from matching keywords to a meaning-based foundation. TextWise holds a significant patent portfolio in extraction, search, categorization and classification using both NLP and statistics. TextWise is headquartered in Rochester, New York.
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