US 12,340,434 B2
Information monitoring system and method
Keith C. Presley, Baltimore, MD (US); James D. Thomin, Fort Walton Beach, FL (US); Beshoy S. Girgis, Kansas City, MO (US); Douglas E. Sheffer, Durham, NC (US); Tyler A. Bohl, Rockville, MD (US); Tyler J. Redenbaugh, Des Moines, IA (US); and Jonathan Sperber, Gaithersburg, MD (US)
Assigned to GUDEA, INC., Baltimore, MD (US)
Filed by Gudea, Inc., Baltimore, MD (US)
Filed on Dec. 14, 2023, as Appl. No. 18/540,820.
Claims priority of provisional application 63/387,885, filed on Dec. 16, 2022.
Claims priority of provisional application 63/489,816, filed on Mar. 13, 2023.
Prior Publication US 2024/0202268 A1, Jun. 20, 2024
Int. Cl. G06F 16/906 (2019.01); G06F 16/93 (2019.01); G06F 16/951 (2019.01); G06F 16/9536 (2019.01); G06F 16/957 (2019.01); G06F 16/958 (2019.01); G06F 21/50 (2013.01); G06F 21/60 (2013.01); G06F 40/20 (2020.01); G06N 20/00 (2019.01); G06Q 30/0251 (2023.01); G06Q 50/00 (2012.01); G06Q 50/26 (2012.01); H04L 9/40 (2022.01); H04L 43/08 (2022.01); H04L 67/306 (2022.01); H04L 67/50 (2022.01); H04L 67/53 (2022.01); H04N 21/442 (2011.01)
CPC G06Q 50/265 (2013.01) [G06F 16/906 (2019.01); G06F 16/93 (2019.01); G06F 16/951 (2019.01); G06F 16/9536 (2019.01); G06F 16/957 (2019.01); G06F 16/958 (2019.01); G06F 21/50 (2013.01); G06F 21/606 (2013.01); G06F 40/20 (2020.01); G06N 20/00 (2019.01); G06Q 30/0252 (2013.01); G06Q 30/0256 (2013.01); G06Q 50/01 (2013.01); H04L 43/08 (2013.01); H04L 63/1425 (2013.01); H04L 67/306 (2013.01); H04L 67/53 (2022.05); H04L 67/535 (2022.05); H04N 21/44204 (2013.01)] 30 Claims
OG exemplary drawing
 
11. A computer program product residing on a computer readable medium having a plurality of instructions stored thereon which, when executed by a processor, cause the processor to perform operations comprising:
identifying a piece of content within a first content platform to be monitored for propagation; and
determining a likelihood of propagation for the piece of content, wherein the likelihood of propagation concerns the piece of content propagating with respect to the first content platform, wherein determining the likelihood of propagation includes analyzing the language included within the piece of content, and wherein analyzing the language included within the piece of content includes vectorizing the piece of content and applying, using artificial intelligence/machine learning, one or more of sentiment analysis, emotion recognition, and contextual analysis to the piece of content.