Sp Global, Inc.

Eric Oak

Temilade Oyeniyi

Ashish Sumsher Rana

Daniel Sandberg

Fanxi Zhao

David Pope

A method of textual data analysis is provided. The method comprises parsing text data extracted from transcripts related to a number of companies. Intermediate metrics are created comprising numerical representations of the parsed text data and derivations. The intermediate metrics are then combined into different combinations comprising headline analytics. A machine learning model tests each headline analytic for standalone predictive efficacy. Headline analytics with standalone predictive efficacies above a first threshold are selected and then tested for additive predictive efficacy to determine if the selected headline analytic incrementally increases the predictive efficacy of a preexisting economic analytic above a second threshold. Headline analytics with additive predictive efficacy above the second threshold are applied to a second number of transcripts in combination with the preexisting economic analytic to predict financial performance of companies that are the subjects of the second number of transcripts.

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Framingham, MA, United States of America

Eric Oak