US 12,406,144 B2
Linguistic analysis to automatically generate a hypothetical likelihood of confusion office action using Dupont factors
Raj Abhyanker, Cupertino, CA (US)
Filed by Raj Abhyanker, Cupertino, CA (US)
Filed on May 19, 2023, as Appl. No. 18/199,908.
Prior Publication US 2024/0386208 A1, Nov. 21, 2024
Int. Cl. G06F 17/00 (2019.01); G06F 40/30 (2020.01); G06N 3/08 (2023.01)
CPC G06F 40/30 (2020.01) [G06N 3/08 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A method comprising:
associating a first keyword formed with an alphanumeric string of characters in a first written script with a semantic meaning based on any one of an analysis of:
a first contextual relevancy of a photograph bearing a visual impression of the first keyword affixed on an article of manufacture, wherein the article of manufacture is visually identified through a neural network and the photograph is verified to be an unmanipulated original of the article of manufacture on which the first keyword is affixed,
a second contextual relevancy of a description of the article of manufacture on which the first keyword is alleged to be affixed, and
a third contextual relevancy of a screenshot bearing the visual impression of the first keyword affixed on a web page, wherein a service offering is visually marked with the first keyword affixed, and verified to be persisting on the web page for a duration of time inclusive of a current time and date;
comparing the first keyword with a second keyword formed with the alphanumeric string of characters with a known semantic meaning as documented in a trusted authority;
applying a linguistic artificial intelligence algorithm upon the first keyword and the second keyword in a set of languages including a primary language of the first written script using a deep learning algorithm to determine which of a set of comparative rules form a basis of an arguable similarity; and
automatically drafting a proposed argument in issue, rule, application, and conclusion format to support a position on the similarity between the semantic inference of the first keyword with the second keyword.