Patent ID: 6718367
Filing Date: 2004-04-06
Classification: H04L,Y10S

Abstract:
A system for filtering and modeling electronic text messages comprising:a message reception means for receiving an electronic text message into the system, said text message having a header and a body, said body containing a natural language text message from an author; a feature extraction means for performing natural language analysis of the text message from the message reception means, said feature extraction means producing one or more output signals relating to any of keyword frequencies, word co-occurrence statistics, a dimensionally-reduced representation of the keyword frequencies, phoneme frequencies, structural pattern statistics for any of sentences, paragraphs and pages, estimated education level of the author, and customer type; a clustering means receiving said output signals from said feature extraction means, said clustering means producing a set of assigned properties based upon the content of the body of the electronic message, said assigned properties including at least one of attitude, one or more issues presented, one or more requests, an author type, and an author's education level; and a learning process which receives said assigned properties and performs relevance ranking and query by example, and which is capable of learning changes to said assigned properties submitted via a user interface such that rules and thresholds used in said feature extraction means and/or clustering means are updated automatically in real time without operator intervention.