| CPC H04L 51/02 (2013.01) [G06F 11/3438 (2013.01); G06F 16/24578 (2019.01); G06F 16/951 (2019.01); G06F 16/9535 (2019.01); G06N 3/04 (2013.01); G06N 3/10 (2013.01); G06N 5/04 (2013.01); G06N 20/00 (2019.01); G06Q 50/01 (2013.01); H04L 51/52 (2022.05); G06Q 30/0255 (2013.01)] | 20 Claims |
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1. A computer system, comprising:
one or more processors;
one or more nonvolatile storage mediums storing, individually or in combination, instructions for execution by the one or more processors;
a contextual search engine in the computer system that:
electronically accesses via a wide area network, a third party computer system hosting a social network, wherein the social network includes a plurality of user accounts and contextual information associated with the plurality of user accounts;
searches the contextual information associated with the plurality of user accounts for a pre-defined search subject; and
evaluates the contextual information relating to the predefined search subject to identify a plurality of influencer accounts, wherein the plurality of influencer accounts is a subset of the plurality of user accounts that influence other user accounts of the plurality of user accounts in a topic area relating to the predefined search subject;
a communication manager in the computer system that communicates a targeted communication through the plurality of influencer accounts in the social network; and
an evaluation computer module in the computer system that identifies, following the running of the targeted communication, collect newly generated contextual information in the social network that is generated after the targeted communication was run and identifies newly generated contextual information for information relating to the predefined search subject and generates a neural network map of the plurality of user accounts that interact with the targeted communication and/or the newly generated contextual information relating to the predefined search subject and connections between such plurality of user accounts; and
an effectiveness grading module in the computer system that evaluates the newly generated contextual information in relation to the neural network map and generates an overall sentiment score of the plurality of user accounts that interact with the targeted communication and/or the newly generated contextual information relating to the predefined search subject and determines an overall effectiveness of the targeted communication using the overall sentiment score of the plurality of user accounts.
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