The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
May. 05, 2020

Filed:

Dec. 07, 2017
Applicant:

Gong I.o Ltd., Herzliya, IL;

Inventors:

Eilon Reshef, Tel Aviv, IL;

Zvi Marx, D.N. Merkaz, IL;

Assignee:

GONG I.O LTD., Ramat-Gan, IL;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 16/61 (2019.01); G06F 16/683 (2019.01); G06F 40/211 (2020.01); G06F 40/242 (2020.01); G06F 40/284 (2020.01); G06F 40/35 (2020.01); G06N 5/02 (2006.01); G06N 7/00 (2006.01); G06N 20/00 (2019.01); G10L 15/04 (2013.01); G10L 15/18 (2013.01); G10L 15/26 (2006.01);
U.S. Cl.
CPC ...
G06F 16/61 (2019.01); G06F 16/685 (2019.01); G06F 40/211 (2020.01); G06F 40/242 (2020.01); G06F 40/284 (2020.01); G06F 40/35 (2020.01); G06N 5/022 (2013.01); G06N 7/005 (2013.01); G06N 20/00 (2019.01); G10L 15/04 (2013.01); G10L 15/1815 (2013.01); G10L 15/26 (2013.01);
Abstract

A method for information processing includes receiving in a computer a corpus of recorded conversations, with two or more speakers participating in each conversation. Respective frequencies of occurrence of multiple words in each of a plurality of chunks in each of the recorded conversations are computed. Based on the frequencies of occurrence of the words over the conversations in the corpus, an optimal set of topics to which the chunks can be assigned is derived, such that the optimal set maximizes a likelihood that the chunks will be generated by the topics in the set. A recorded conversation from the corpus is segmented using the derived topics into a plurality of segments, such that each segment is classified as belonging to a particular topic in the optimal set.


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