Published October 4, 2022 | Version v1
Patent Open

Applying a trained model to predict a future value using contextualized sentiment data

  • 1. University of Chicago
  • 2. Harvard University
  • 3. Yale University

Description

Systems, methods, and computer-readable storage media facilitating automated testing of datasets including natural language data are disclosed. In the disclosed embodiments, rule sets may be used to condition and transform an input dataset into a format that is suitable for use with one or more artificial intelligence processes configured to extract parameters and classification information from the input dataset. The parameters and classes derived by the artificial intelligence processes may then be used to automatically generate various testing tools (e.g., scripts, test conditions, etc.) that may be executed against a test dataset, such as program code or other types of data.

Files

US11461847.pdf

Files (1.3 MB)

Name Size Download all
md5:ea63bae120c4007b9b2bef6623f4b858
1.3 MB Preview Download

Additional details

Identifiers

Patent number
US 11461847 B2
Patent application number
US 202016826000 A
Other
oai:uchicago.tind.io:7431

Dates

Patent filed
2020-03-20

UChicago Information

Division(s)
Booth School of Business
Department(s)
Econometrics and Statistics