公开(公告)号：US20240371368A1

公开(公告)日：2024-11-07

申请号：US18312146

申请日：2023-05-04

Applicant: Nice Ltd.

Inventor： Lior INTRATOR ,  Tal HAGUEL

IPC: G10L15/183 ,  G06N20/00 ,  G10L15/10 ,  G10L15/22

Abstract: Systems and methods for mapping a set of output values of a first learning model to a distribution of a set of output values of a second learning model include: calculating a distribution function for a set of source values; calculating a distribution function for a set of target values; calculating a set of quantiles for each distribution function; using the set of quantiles in a linear interpolation of the set of target values to obtain a source values array and a matched interpolated values array; calculating an absolute distance from each value in the source values array to the first set of output values of the first learning model; determining a corresponding value in the matched interpolated values array corresponding to a value in the source values array which has the smallest said absolute distance; and outputting a set of matched values.

公开(公告)号：US20240242033A1

公开(公告)日：2024-07-18

申请号：US18156050

申请日：2023-01-18

Applicant: NICE LTD.

Inventor： Lior INTRATOR ,  Dalya BELL ,  Tal HAGUEL ,  Neta ROSENFELD ,  Yonatan ROSEN ,  Koren GERSHONI

IPC: G06F40/30 ,  G06Q50/00 ,  G06V30/14 ,  G06V30/262

CPC classification number: G06F40/30 ,  G06Q50/01 ,  G06V30/14 ,  G06V30/274

Abstract: A machine learning (ML) system and methods are provided that are configured to correlate text data with corresponding image data for image sentiment analysis. The system includes a processor and a computer readable medium operably coupled thereto, the computer readable medium comprising a plurality of instructions stored in association therewith that are accessible to, and executable by, the processor, to perform image processing operations which include receiving image data for an image posted on a social networking platform, determining whether there is text data, performing image data extraction operations, analyzing the text data, determining and combining a score for the image and text data, determining an image sentiment or a text sentiment, calculating weighted metrics based on the image sentiment or the text sentiment, determining historical customer data interactions of the customer, and recommending one or more actions based on the weighted metrics.