Method and system for processing user inputs using natural language processing

A system for processing user input using Natural Language Processing (NLP), the system comprising:

• a processor;
• and
• a memory communicatively coupled to the processor, wherein the memory stores processor-executable instructions, which, on execution, causes the processor to:
• generate, by an NLP model, a set of input intent maps associated with a user input received from a user based on a first subset of words extracted from the user input, wherein generating the set of input intent maps comprises processing the first subset of words through at least one of a plurality of intent map transforming algorithms, and wherein the set of input intent maps is one of a set of partial input intent maps and a set of complete input intent maps;
• match each of the set of input intent maps with each of a plurality of pre-stored sets of intent maps, wherein each of the plurality of pre-stored sets of intent maps is generated from a single predefined training input and is mapped to a predefined intent and a predetermined response, and wherein the single predefined training input comprises a predefined input command, wherein matching the set of input intent maps comprises:
• at each sequential iteration of generating the set of partial input intent maps, matching each of the set of partial input intent maps with each of the plurality of pre-stored sets of intent maps until the pre-stored intent map from the plurality of pre-stored sets of intent maps that is closest to the generated set of partial input intent maps is identified in a current iteration;
• determine a distance of each of the set of input intent maps relative to each of the plurality of pre-stored sets of intent maps;
• identify a pre-stored intent map from the plurality of pre-stored sets of intent maps closest to the set of input intent maps;
• and
• render, to the user, the predetermined response mapped to the pre-stored sets of intent maps.

A computer program product being embodied in a non-transitory computer readable storage medium of a computing device and comprising computer instructions for:

• generating, by an NLP model, a set of input intent maps associated with a user input received from a user based on a first subset of words extracted from the user input, wherein generating the set of input intent maps comprises processing the first subset of words through at least one of a plurality of intent map transforming algorithms, and wherein the set of input intent maps is one of a set of partial input intent maps and a set of complete input intent maps;
• matching each of the set of input intent maps with each of a plurality of pre-stored sets of intent maps, wherein each of the plurality of pre-stored sets of intent maps is generated from a single predefined training input and is mapped to a predefined intent and a predetermined response, and wherein the single predefined training input comprises a predefined input command, wherein matching the set of input intent maps comprises:
• at each sequential iteration of generating the set of partial input intent maps, matching each of the set of partial input intent maps with each of the plurality of pre-stored sets of intent maps until the pre-stored intent map from the plurality of pre-stored sets of intent maps that is closest to the generated set of partial input intent maps is identified in a current iteration;
• determining a distance of each of the set of input intent maps relative to each of the plurality of pre-stored sets of intent maps;
• identifying a pre-stored intent map from the plurality of pre-stored sets of intent maps closest to the set of input intent maps;
• and
• rendering, to the user, the predetermined response mapped to the pre-stored sets of intent maps.