公开(公告)号：US11140266B2

公开(公告)日：2021-10-05

申请号：US16535600

申请日：2019-08-08

Applicant: Verizon Patent and Licensing Inc.

Inventor： Farid Khafizov ,  Vittal N. Gunturu ,  Charles A. Liscomb ,  Travis R. McLaren ,  Wade W. Hiney

IPC: H04M3/00 ,  H04M3/51 ,  G06N20/10 ,  G06K9/62 ,  G06F40/20

Abstract: A computer device may include a memory storing instructions and processor configured to execute the instructions to obtain a text file generated based on a communication session; select topics for classifying communication sessions; and apply one or more trained machine learning models to the obtained text file to determine one or more most likely topics for the communication session. The processor may be further configured to apply regular expression binary classifiers, each associated with a different topic, to the obtained text file to determine a likelihood the communication session is associated with a particular topic; select a topic for the communication session based on the determined one or more most likely topics and the determined likelihood the communication session is associated with the particular topic; and classify the communication session based on the selected topic.

公开(公告)号：US20210044697A1

公开(公告)日：2021-02-11

申请号：US16535600

申请日：2019-08-08

Applicant: Verizon Patent and Licensing Inc.

Inventor： Farid Khafizov ,  Vittal N. Gunturu ,  Charles A. Liscomb ,  Travis R. McLaren ,  Wade W. Hiney

IPC: H04M3/51 ,  G06N20/10 ,  G06K9/62 ,  G06F17/27

Abstract: A computer device may include a memory storing instructions and processor configured to execute the instructions to obtain a text file generated based on a communication session; select topics for classifying communication sessions; and apply one or more trained machine learning models to the obtained text file to determine one or more most likely topics for the communication session. The processor may be further configured to apply regular expression binary classifiers, each associated with a different topic, to the obtained text file to determine a likelihood the communication session is associated with a particular topic; select a topic for the communication session based on the determined one or more most likely topics and the determined likelihood the communication session is associated with the particular topic; and classify the communication session based on the selected topic.