| CPC G06F 40/295 (2020.01) [G06F 8/658 (2018.02); G06F 40/205 (2020.01); G06Q 30/0203 (2013.01); H04L 51/046 (2013.01)] | 20 Claims |
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1. A method for creating a customized response to user feedback about a product, the method comprising:
training one or more machine-learning (ML) models to parse text and extract keywords or phrases from the text;
upon receiving the user feedback, parsing the received user feedback using the trained one or more ML models to extract at least one of a keyword and a phrase from the parsed user feedback;
upon receiving update information related to the product, parsing the received update information using the trained one or more ML models to extract at least one of a keyword and a phrase from the parsed update information;
comparing the at least one of the keyword and the phrase from the parsed user feedback to the at least one of the keyword and the phrase from the parsed update information;
determining, based on the comparing of the parsed user feedback and the parsed update information, that a portion of the received user feedback matches a portion of the received update information; and
in response to the determining of the match, sending, to a user who provided the user feedback, a customized notification that identifies a relation between the received user feedback and the received update information.
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