US 11,941,362 B2
Systems and methods of artificially intelligent sentiment analysis
Edwin F. Campos Ortega, Naperville, IL (US); Eric D. First, Chicago, IL (US); Deepakshi Aswal, Scottsdale, AZ (US); and Jie He, Naperville, IL (US)
Assigned to Early Warning Services, LLC, Scottsdale, AZ (US)
Filed by Early Warning Services, LLC, Scottsdale, AZ (US)
Filed on Apr. 27, 2020, as Appl. No. 16/859,301.
Prior Publication US 2021/0334466 A1, Oct. 28, 2021
Int. Cl. G06F 40/30 (2020.01); G06F 40/289 (2020.01); G06N 20/00 (2019.01)
CPC G06F 40/30 (2020.01) [G06F 40/289 (2020.01); G06N 20/00 (2019.01)] 17 Claims
OG exemplary drawing
 
1. A method of providing sentiment analysis, comprising:
training a computer system to identify a polarity of a sentiment for a plurality of phrases;
receiving, at the computer system, an input from a website, the input comprising a text string including an input phrase;
determining, by the computer system, the polarity of the sentiment of the input phrase by comparing the input phrase to the plurality of phrases, wherein the computer system determines that the polarity of the sentiment is unrecognized when the input phrase does not correspond to the one or more phrases of the plurality of phrases; and
sending, by the computer system, a command to the website that causes the website to display predetermined content based on the determined polarity of the sentiment of the phrase, wherein:
the predetermined content comprises a predetermined text-based message that is selected based at least in part on the polarity of the sentiment of the input phrase;
when the polarity of the sentiment of the input phrase is negative, the predetermined text-based message comprises contact information of an entity associated with the input phrase; and
when the polarity of the sentiment of the input phrase is unrecognized, the predetermined text-based message comprises a generic text-based message that is not tied to a particular polarity of sentiment.