@article{PATENT,
      recid = {8264},
      title = {APPLYING A TRAINED MODEL TO PREDICT A FUTURE VALUE USING  CONTEXTUALIZED SENTIMENT DATA},
      number = {PATENT},
      month = {Sep},
      year = {2020},
      abstract = {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.},
      url = {http://knowledge.uchicago.edu/record/8264},
}