Patent ID: 8527436
Filing Date: 2013-09-03
Classification: G06Q,H04L

Abstract:
1. A method comprising: training, in a computer system, an e-mail analyzer that is based on a hidden Markov model, wherein the training uses a set of training e-mail messages, each training e-mail message having a plurality of lines, wherein the hidden Markov model models associations between lines of an e-mail message and a plurality of line types, wherein the plurality of line types include at least a signature type and a disclaimer type; applying, in the computer system, the trained e-mail analyzer to a target e-mail message having a plurality of lines to assign each line of the target e-mail message to one of the plurality of line types; and storing annotations for the target e-mail message in a data store, the annotations indicating the assigned line type for each line of the target e-mail message.