Content Analyst provide Innovations, Performance and Insight Visualization Capabilities

Content Analyst provide Innovations, Performance and Insight Visualization Capabilities : Content Analyst provides Rapid Insight into Big Content via proven, high performance advanced analytics software that exponentially reduces the time needed to discern relevant information from unstructured content. The dynamic suite of text analytics capabilities delivers significant value wherever knowledge workers need to extract insights from large amounts of unstructured content. The three key themes of CAAT 3.17 release are Innovation, Performance, and Visualization, designed to support the company's mission to provide Rapid Insight into Big Content for analysts to visualize and discover hidden relationships among vast amounts of unstructured, text-based content. At its core, CAAT is based upon the highly-scalable and extensively-expanded latent semantic indexing (LSI) technology, which Content Analyst calls LSI+. Major enhancements to CAAT with version 3.17 include Innovation in phrase queries, Text near dupe performance enhancements and Insight visualization.

CAAT 3.17 includes the ability to find conceptually related content using an entire phrase as a search query, providing even better conceptual search results to end users. This is especially useful when searching non-compositional phrases - i.e., the meanings of the component words do not capture the meaning of the phrase as a whole. With the release of version 3.17, CAAT delivers powerful relevant results from well-formed conceptual searches and shorter phrases. Building on the widespread adoption and proven performance of the text near dupe capabilities in CAAT, version 3.17 includes even greater enhancements to performance and scalability, both in processing speed and throughput. While CAAT is proven to identify relevant and responsive relationships within large amounts of unstructured content, CAAT 3.17 takes the ability to provide insight to the next level by providing new tools to support the visualization of these valuable insights. The new tool will allow Content Analyst's partners to quickly and easily provide insightful and compelling visualizations within any CAAT-powered software or web-based product.

Kurt Michel, President and CEO of Content Analyst said, 'At the heart of discovery in any market are the notions of correlation and relevance. The ability to present the most relevant, related content to users through intuitive and compelling visualizations allows people analyzing large amounts of unstructured content to reach that critical moment of discovery faster. Building on ten years of innovation in advanced functionality, scalability and performance of our core LSI technology, we're excited to provide tools that make rapid insight through visualization into big content possible for our partners and their customers.'

CAAT is a machine-learning text analytics engine extensively integrated into dozens of software applications serving the legal community for eDiscovery, Information Governance, contract lifecycle management, intellectual property management and information services.