With text-mining software, which finds patterns and insights from collections of documents, one powerful capability identifies related words. The software models the words in a corpus (all the documents) into topics. Latent Dirichlet Allocation (LDA) is one of the algorithms which carries out such topic modeling. In the legal industry, LDA can work its wonders on any set of documents: client satisfaction comments, documents obtained in discovery or due diligence, annual reports, hot line replies, survey answers, and other sources.
To view this content, please continue to Lexis Advance®.
Not a Lexis Advance® Subscriber? Subscribe Now
LexisNexis® is now the exclusive third party online distributor of the broad collection of current and archived versions of ALM's legal news publications. LexisNexis® customers will be able to access and use ALM's content by subscribing to the LexisNexis® services via Lexis Advance®. This includes content from the National Law Journal®, The American Lawyer®, Law Technology News®, The New York Law Journal® and Corporate Counsel®, as well as ALM's other newspapers, directories, legal treatises, published and unpublished court opinions, and other sources of legal information.
ALM's content plays a significant role in your work and research, and now through this alliance LexisNexis® will bring you access to an even more comprehensive collection of legal content.
For questions call 1-877-256-2472 or contact us at firstname.lastname@example.org