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CAAT 3.16 Machine Learning Software - Content Analyst Company, LLC

Winner In:
Best Semantic Technology Platform, Tools and Applications

Content Analyst Company's patented CAAT software is a machine learning based, semantic text analytics suite that facilitates the search, organization, matching, analysis and visualization of large amounts of unstructured text content. CAAT is used by web content publishers, talent management products and other software products where large amounts of unstructured text content need to be searched, organized and analyzed. Unlike traditional search technologies, CAAT is not dependent on Boolean logic, pre-defined dictionaries, taxonomies or keyword libraries. Rather, it uses machine learning technology to create a conceptual space of the entire corpus of text content, allowing it to be searched, organized and analyzed based on concepts---not keywords. Users can use the contents of an entire article, resume, job description or research paper to match results based on conceptual similarity.

Since CAAT is not keyword dependent, it performs these functions in any language.

CAAT has been integrated into dozens of web platforms and software products spanning information services, talent management, patent research, contract management, eDiscovery, social media analysis, and US Intelligence installations.

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