Content Analyst Company, maker of the machine learning text analytics engine CAAT, announced yesterday the availability of Cerebrant, a new software as a service designed to analyze unstructured content. Cerebrant interrogates unstructured data collections to find content relevant to an investigation and uncover non-obvious relationships among the data.
Cerebrant uses CAAT’s Latent Semantic Indexing technology. The LSI engine inputs a selection of text, such as a phrase, sentence, paragraph or document, and identifies and ranks conceptually related items in a content set, which can include millions of text items. The new tool works with public and private unstructured data repositories, such as collections of industry reports and studies, scientific research and news sources.
This content has been archived. It is available through our partners, LexisNexis® and Bloomberg Law.
To view this content, please continue to their sites.
Not a Lexis Subscriber?
Subscribe Now
Not a Bloomberg Law Subscriber?
Subscribe Now
LexisNexis® and Bloomberg Law are third party online distributors of the broad collection of current and archived versions of ALM's legal news publications. LexisNexis® and Bloomberg Law customers are able to access and use ALM's content, including content from the National Law Journal, The American Lawyer, Legaltech News, The New York Law Journal, and Corporate Counsel, as well as other sources of legal information.
For questions call 1-877-256-2472 or contact us at [email protected]
