Patent ID: 11861463
Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 0:
1. A computer-implemented method comprising:
training a message class prediction model using a training set interaction in narrative text form, the training comprising configuring a Markov inference model to determine a plurality of conditional probabilities, each conditional probability comprising a probability of a message in a second message class following a message in a first message class, wherein the training results in a trained message class prediction model;
classifying, using a natural language analysis, a current message into a current message class, the current message being a portion of an interaction in narrative text form;
determining, using the trained message class prediction model and the current message class, a previous message class probability, the previous message class probability comprising a probability that the current message class was preceded by a message in a previous message class; and
extracting, from the interaction using the previous message class probability, a previous message, the previous message being a portion of the interaction occurring prior to the current message, the previous message being classified into the previous message class.