Published September 24, 2020
| Version v1
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APPLYING A TRAINED MODEL TO PREDICT A FUTURE VALUE USING CONTEXTUALIZED SENTIMENT DATA
- 1. University of Chicago
- 2. Harvard University
- 3. Yale University
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Patent applicants:
Patent assignee:
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