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.

Date of Patent:
Aug. 31, 2021

Filed:

Mar. 05, 2018
Applicant:

Hrl Laboratories, Llc, Malibu, CA (US);

Inventors:

Alex N. Waagen, Agoura Hills, CA (US);

Tsai-Ching Lu, Thousand Oaks, CA (US);

Jiejun Xu, Chino, CA (US);

Assignee:

HRL Laboratories, LLC, Malibu, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06N 7/00 (2006.01); G06N 5/02 (2006.01); G06N 5/04 (2006.01); G06F 9/448 (2018.01); G06F 16/2458 (2019.01); G06F 16/901 (2019.01); G06Q 50/00 (2012.01);
U.S. Cl.
CPC ...
G06N 7/005 (2013.01); G06F 9/4498 (2018.02); G06F 16/2477 (2019.01); G06F 16/9024 (2019.01); G06N 5/022 (2013.01); G06N 5/04 (2013.01); G06Q 50/01 (2013.01);
Abstract

Described is a system for predicting an occurrence of large-scale events using social media data. A collection of time series is acquired from social media data related to an event of interest. The collection of time series is partitioned into time intervals and semantic features are extracted from the time intervals as a set of semantic intervals. The semantic features are encoded into a multilayer network. Subgraphs of the multilayer network are transformed into a state transition network. A prediction of a future event of interest is generated by analyzing the encoded network using the state transition network. Using the analyzed encoded network, a device is controlled based on the prediction of the future event of interest.


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