The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
Apr. 27, 2021
Filed:
Dec. 28, 2020
Agblox, Inc., Irvine, CA (US);
Thomas N. Blair, Irvine, CA (US);
Alex A. Kurzhanskiy, Albany, CA (US);
Spyros J. Lazaris, Los Angeles, CA (US);
Leo Richard Jolicoeur, Reno, NV (US);
Michael G. McErlean, Sioux Falls, ND (US);
Tony Chiyung Lei, Reno, NV (US);
Craig I. Forman, San Francisco, CA (US);
AGBLOX, INC., Irvine, CA (US);
Abstract
A data analytics platform is provided for forecasting future states of commodities and other assets, based on processing of both textual and numerical data sources. The platform includes a multi-layer machine learning-based model that extracts sentiment from textual data in a natural language processing engine, evaluates numerical data in a time-series analysis, and generates an initial forecast for the commodity or asset being analyzed. The platform includes multiple applications of neural networks to develop augmented forecasts from further analysis of relevant information as it is collected. These include commodity-specific neural networks designed to continually develop taxonomies used to process commodity sentiment, and applications of reinforcement learning, symbolic networks, and unsupervised meta learning to improve overall performance and accuracy of the forecasts generated.