Palantir Technologies Inc.

Tim O'Brien

Jack Grossman

Daniel Erenrich

Arseny Bogomolov

Cooper Bills

Nathaniel Klein

Eric Anderson

Ryan Beiermeister

Eric Raboin

Matthew Levan

Matthew Gerhardt

Kevin Simons

James Rosswog

Computer implemented systems and methods are disclosed for identifying and categorizing electronic documents through machine learning. In accordance with some embodiments, a seed set of categorized electronic documents may be used to train a document categorizer based on a machine learning algorithm. The trained document categorizer may categorize electronic documents in a large corpus of electronic documents. Performance metrics associated with performance of the trained document categorizer may be tracked, and additional seed sets of categorized electronic documents may be used to improve the performance of document categorizer by retraining the document categorizer on subsequent seed sets. Additional seed sets may and categorizations may be iterated through until a desired document categorization performance is reached.

Systems and methods for identifying and categorizing electronic documents through machine learning

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Washington, DC, United States of America

Tim O'Brien