Using classified text and deep learning algorithms to identify support for financial advantage and provide notice
AssigneeIntraspexion Inc.
InventorNelson E. Brestoff
Life of this patent
Estimating the term…
Abstract
Deep learning is used to identify specific, potential financial advantage for an enterprise that are hidden in internal electronic documents. The system involves mining and using existing classifications of data (e.g., from previously sorted documents) to train one or more deep learning algorithms, and then examining internal electronic documents with the trained algorithm, to generate a scored output that will enable enterprise personnel to evaluate the identified documents for a potential financial advantage to the enterprise.
Claims18
A method of using classified text and deep learning algorithms to identify financial advantage comprising:
- creating or accessing one or more training datasets for textual data corresponding to one or more financial classifications, wherein said financial classifications comprises one or more financial advantage of interest;
- training one or more deep learning algorithms using said one or more training datasets;
- extracting an internal electronic document of an enterprise;
- applying said one or more deep learning algorithms to said internal electronic document to identify and report any one of said one or more advantages of interest;
- determining if said identified one of said one or more advantages of interest is a false positive or a true positive;
- re-training said one or more deep learning algorithms if said identified one of said one or more advantages of interest is a false positive;
- and
- saving said internal electronic document in a true positive database if said identified one of said one or more reported advantages of interest is a true positive.
A method of using classified text and deep learning algorithms to identify financial advantage comprising:
- creating one or more training datasets by mining financial databases for textual data corresponding to one or more financial advantages of interest;
- training one or more deep learning algorithms using said one or more training datasets;
- extracting and indexing one or more internal electronic documents;
- applying said one or more deep learning algorithms to said one or more internal electronic documents to identify and report any one of said one or more advantages of interest;
- determining if said identified one of said one or more advantages of interest is a false positive or a true positive;
- re-training said one or more deep learning algorithms if said identified one of said one or more advantages of interest is a false positive;
- and
- saving said internal electronic documents in a true positive database for evaluation if said identified one of said one or more advantages of interest is a true positive.
A method of using classified text and deep learning algorithms to identify financial advantage comprising:
- creating one or more training datasets for textual data corresponding to one or more financial classifications, wherein said financial classifications comprises one or more financial advantages of interest;
- training one or more deep learning algorithms using said one or more training datasets;
- extracting and indexing one or more internal electronic documents of an enterprise;
- applying said one or more deep learning algorithms to said one or more internal electronic documents to identify any one of said one or more financial advantage of interest;
- and
- reporting said identified one of said one or more financial advantages of interest for action by the enterprise.
Dependencies are inferred from the claim text.