Abstract: Methods for providing marketing analytics are presented. Information about a brand is extracted from web documents using a search program. The search program learns about how a brand is referenced from the context of one or more web documents having quality, quantity, or entity brand characteristics. After learning about the brand, the program extracts information from additional web documents especially those having the quality, quantity, and entity characteristics. As the program analyzes the documents, it stores the extracted information in a database to build a statically significant data set.

Abstract: Methods for deriving a brand sentiment are presented. Phrases and ratings associated with the brand are stored in a database. The phrases are analyzed and compared to each other and to the ratings to derive a statistical significance of a phrase usage relative to other phrases. A sentiment score is derive from the statistical significance.