Patent ID: 8666916

Claim:
A method comprising: receiving training data that comprise a plurality of event-and-time-specific texts that are contextually related to a plurality of events; identifying, by iteratively processing the training data, a plurality of different states, each state corresponding to a different event from the plurality of events; generating a modified network model that comprises the plurality of states; receiving additional data that comprise a plurality of additional event-and-time-specific texts that are contextually related to a particular event; processing the additional data by applying the modified network model to the additional data to identify, within the plurality of additional event-and-time specific texts, a particular set of texts that belong to a particular state of the plurality of states; and identifying, within the particular set of texts, one or more texts that are most representative of all texts in the particular set of texts that belong to the particular state; and wherein the method is performed by one or more computing devices.