CPC G06F 16/258 (2019.01) [G06F 16/285 (2019.01); G06F 40/20 (2020.01)] | 20 Claims |
1. A method for automatically classifying and tagging natural language data, the method being implemented by at least one processor, the method comprising:
receiving, by the at least one processor via an application programming interface, at least one request that relates to at least one from among a support service and a data extraction service from at least one source, each of the at least one request including raw data in a natural language format, wherein the support service relates to at least one from among a troubleshooting, a facilitating, and a resolving of a system operation;
converting, by the at least one processor, the raw data into at least one structured data set that is recognizable by at least one model;
determining, by the at least one processor using the at least one model, at least one metadata output that provides contextual information for each of the at least one request based on the corresponding at least one structured data set;
appending, by the at least one processor, each of the at least one metadata output to the corresponding at least one request in order to associate each of the at least one metadata output with the corresponding at least one request;
determining, by the at least one processor, at least one action for each of the at least one request based on the corresponding at least one metadata output, wherein the at least one action relates to at least one process for resolving the at least one request; and
automatically initiating, by the at least one processor, the at least one action.
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