CPC G06F 40/289 (2020.01) [G06N 20/00 (2019.01); G16H 10/20 (2018.01); G16H 20/70 (2018.01)] | 24 Claims |
1. A method, comprising:
obtaining training data comprising training input phrases, each training input phrase being associated with a label indicative of whether the respective training input phrase is associated with a crisis situation;
training a machine learning classifier using the training input phrases and their respective labels;
receiving an input phrase;
applying the input phrase to a machine learning classifier to determine whether the input phrase triggers the machine learning classifier;
determining a crisis score using the input phrase;
accessing one or more historical crisis scores; and
executing an abatement protocol in response to determining that the input phrase triggers the trained machine learning classifier, wherein execution of the abatement protocol is further based on the crisis score and the one or more historical crisis scores.
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