Systems and methods for automated iterative population of responses using artificial intelligence

A non-transitory computer readable storage medium having stored thereon instructions, the instructions being executable by one or more processors to perform operations comprising:

• receiving a plurality of request texts;
• and
• for each request text of the plurality of request texts:
• performing a pre-processing operation on a current request text of the plurality of request texts,
• performing either a first text similarity procedure resulting in determination of a first most similar request text stored in a knowledge base or a second text similarity procedure resulting in a determination of a second most similar request text stored in the knowledge base, wherein the second text similarity procedure includes performance of word embedding operations,
• determining a degree of similarity between the current request text and either the first most similar request text or the second most similar request text,
• when the degree of similarity satisfies a similarity threshold comparison, associating the current request text with an answer associated with one of the first most similar request text or the second most similar request text, and
• when the degree of similarity does not satisfy the similarity threshold comparison, flagging the current request text or associating a placeholder answer with the current request text.

A system comprising:

• a memory to store executable instructions;
• and
• a processing device coupled with the memory, wherein the instructions, when executed by the processing device, cause operations including:
• receiving a plurality of request texts;
• and
• for each request text of the plurality of request texts:
• performing a pre-processing operation on a current request text of the plurality of request texts,
• performing either a first text similarity procedure resulting in determination of a first most similar request text stored in a knowledge base or a second text similarity procedure resulting in a determination of a second most similar request text stored in the knowledge base, wherein the second text similarity procedure includes performance of word embedding operations,
• determining a degree of similarity between the current request text and either the first most similar request text or the second most similar request text,
• when the degree of similarity satisfies a similarity threshold comparison, associating the current request text with an answer associated with one of the first most similar request text or the second most similar request text, and
• when the degree of similarity does not satisfy the similarity threshold comparison, flagging the current request text or associating a placeholder answer with the current request text.