Text Analytics describes a class of computer software and processes for Knowledge Discovery in Text.

Text Analytics applies linguistic, statistical, and machine learning techniques to discern and annotate "features" -- terms, entities, facts & concepts -- in textual information sources, to extract these features, discover patterns and relationships, and support exploratory and automated analyses of document sets and the knowledge they contain.

Text Analytics is often applied in conjunction with Business Intelligence and Data Mining, which has traditionally been called Knowledge Discovery in Data. The field covers information delivery including Visualisation; it includes Natural Language Processing; and it overlaps information Categorization and Classification and Semantic Analysis -- work with Taxonomies and Ontologies -- as well as Consumer and Enterprise Search.

This list hosts discussion of Text Analytics and related technologies, marketing, and implementation. Researchers, vendors, consultants, and end users are all invited to participate.