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Systems and Methods for Automatically Assessing Constructed Recommendations Based on Sentiment and Specificity Measures

Author(s):
Heilman, Michael; Breyer, F. Jay; Flor, Michael
Patent Issued:
Dec 24, 2019
Patent Number:
10,515,153
Source:
ETS Patent
Document Type:
Patent
Family ID:
51896460
Subject/Key Words:
Patent, Active Patent, Text Analysis, Training Texts, Constructed Texts, Sentiment Analysis, Linguistic Features, Computer-Implemented, Automated Assessment Technology

Abstract

A computer-implemented method of training an assessment model for assessing constructed texts expressing opinions on subjects includes accessing a plurality of training texts, which are constructed texts. The training texts are analyzed with the processing system to derive values of a plurality of linguistic features of an assessment model. At least one of the plurality of linguistic features relates to sentiment and at least one of the plurality of linguistic feature relates to specificity. The assessment model is trained with the processing system based on the values of the plurality of linguistic features. Based on the training, a weight for each of the plurality of linguistic features is determined. The assessment model is calibrated to include the weights for at least some of the plurality of linguistic features such that the assessment model is configured to generate assessment measures for constructed texts expressing opinions on subjects.

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