Patent ID: 9697192
Date: 2017-07-04
CPC Classifications: G06F,G06Q

Claim:
1. A computer-implemented method, comprising: reading text data corresponding to one or more messages; creating one or more semantic annotations to the text data to generate one or more annotated messages, wherein creating the one or more semantic annotations comprises generating, at least in part by at least one trained statistical language model trained by machine learning, one or more predictive labels as annotations corresponding to language patterns associated with the text data; aggregating the one or more annotated messages and storing information associated with the aggregated one or more annotated messages in a message store, wherein the aggregating comprises constructing a global knowledge representation associated with the aggregated one or more annotated messages; and performing an automated process, based at least in part on the global knowledge representation, the automated process comprising one or more global analytics functions that include: performing steps (a)-(c) repeatedly until a predetermined level of accuracy of the annotations has been reached or a predetermined number of iterations have been performed.