Invention Grant
- Patent Title: System and method for detecting portability of sentiment analysis system based on changes in a sentiment confidence score distribution
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Application No.: US15588503Application Date: 2017-05-05
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Publication No.: US10592606B2Publication Date: 2020-03-17
- Inventor: Tzu-Ting Kuo , Ji Fang
- Applicant: Medallia, Inc.
- Applicant Address: US CA Palo Alto
- Assignee: MEDALLIA, INC.
- Current Assignee: MEDALLIA, INC.
- Current Assignee Address: US CA Palo Alto
- Agency: Van Court & Aldridge LLP
- Main IPC: G06F17/27
- IPC: G06F17/27 ; G06N3/12 ; G06N5/04 ; G06Q30/02 ; G06Q10/06

Abstract:
Embodiments of the present invention provide a system that that can be used to determine whether a sentiment analysis model is portable between two data sets. During operation, the system analyzes the text of a respective review in a data set (e.g., a set of reviews) using the sentiment analysis model to determine a sentiment expressed in the review. The system then computes a confidence score, which indicates the accuracy of a respective sentiment. The system subsequently determines a confidence score distribution for various sentiments, as determined by the sentiment analysis model. The system determines the significance of changes between the confidence score distribution and a benchmark confidence score distribution, which is associated with a benchmark data set for which the sentiment analysis model yields a high accuracy. The system can then determine whether the sentiment analysis model is portable to the data set based on the significance of changes.
Public/Granted literature
- US20180322114A1 SYSTEM AND METHOD FOR DETECTING PORTABILITY OF SENTIMENT ANALYSIS SYSTEM Public/Granted day:2018-11-08
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