| CPC G06F 40/35 (2020.01) [G06F 16/3329 (2019.01); G06F 40/279 (2020.01); G06N 3/04 (2013.01); G06N 3/084 (2013.01)] | 20 Claims |
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1. A system for generating dynamic conversational responses sensitive to different emotional contexts using machine learning models, the system comprising:
one or more processors; and
a non-transitory computer-readable storage medium storing instructions, which, when executed by the one or more processors, cause the one or more processors to:
receive a first user input from a user during a conversational interaction with a user interface of a device associated with the user;
compare a plurality of terms within the first user input with a plurality of stored terms, wherein each term of the plurality of stored terms is associated with a corresponding social closeness value, and wherein a particular social closeness value indicates a social distance between the user and an entity represented by a corresponding stored term;
based on comparing the plurality of terms within the first user input with the plurality of stored terms, determine a term of the plurality of terms that matches a stored term of the plurality of stored terms;
retrieve a social closeness value associated with the term of the plurality of terms;
in response to determining that the social closeness value is above a threshold, determine an emotional context of the first user input;
generate a feature input based on the first user input, the term of the plurality of terms, the emotional context, and the social closeness value;
input the feature input into a first machine learning model, wherein the first machine learning model is trained to select or generate a dynamic conversational response from a plurality of dynamic conversational responses based on the feature input; and
generate for display, at the user interface, the dynamic conversational response selected by the first machine learning model during the conversational interaction.
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