Machine learning system and method for total addressable market assessments in connection with keyword qualification

A computing system for assessing keyword-topic pairs, the computing system comprising:

• one or more processors;
• and one or more memories storing instructions that, when executed by the one or more processors, cause the computing system to perform a process comprising:
• selecting domains of websites via a computer comprising a domain management module;
• extracting keywords associated with said selected domains;
• generating, upon evaluating an entirety of content available on the world wide web (WWW), a set of search engine results pages (SERPs) associated with said extracted keywords,
• wherein each respective SERP dataset associated with a respective one or more of said extracted keywords comprises a SERP text block (a) being inspected for said entirety of said WWW content and (b) qualifying a respective SERP for said associated respective SERP dataset in response to a context of said SERP text block satisfying said associated SERP dataset of said respective one or more extracted keywords based on said context of said SERP text block and a context of said respective one or more extracted keywords;
• filtering said extracted keywords prior to the generating the set of SERPs based on said extracted keywords, wherein said filtering comprises selecting only keywords of said extracted keywords that meet a minimum search volume criteria;
• generating a plurality of reference text blocks for a plurality of topics;
• in response to a request from a client, applying a semantic scoring model to said reference text blocks and said SERPs to generate a semantic similarity score for each keyword-topic pair of a plurality of keyword-topic pairs;
• and
• obtaining search results based on said semantic similarity scores for said plurality of keyword-topic pairs.