| CPC G06N 5/025 (2013.01) [G06F 16/2272 (2019.01)] | 20 Claims |
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1. A computer-implemented method, comprising:
obtaining a reaction data in response to a communication session instantiated between at least two or more communication devices supported by a first communication service, wherein the reaction data includes at least one of a video data or audio data or textual data;
processing the reaction data to determine a user reaction associated with the communication session, wherein the video data processes facial expressions or gesture captured within the video data, and wherein the audio data is processed using recurrent neural network or Hidden Markov Model (HMM), and wherein the textual data is processed using a natural language processing (NLP), and wherein processing the reaction data includes processing timing patterns in the reaction data;
analyzing the user reaction to generate a standardized reaction that characterizes a sentiment of the user reaction;
mapping the standardized reaction to a first reaction proprietary to a second communication service to generate an identified reaction proprietary to the second communication service; and
mapping the standardized reaction to a second reaction proprietary to a third communication service, wherein the first reaction proprietary to the second communication service is different from the second reaction proprietary to the third communication service.
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