Published September 24, 2020 | 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.

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Additional details

Identifiers

Patent application number
US 202016826000 A
Patent number
US 2020/0302540 A1
Other
oai:uchicago.tind.io:8264

Dates

Patent filed
2020-03-20

UChicago Information

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