Systems and methods for generating custom industry classifications

A system, comprising:

• an electronic device comprising a computer processor and executing an industry classification computer program;
• a first database comprising standard industry classifications and standard industry descriptions;
• and
• a second database comprising custom industry classifications, custom industry descriptions, and a mapping of the custom industry classifications to the standard industry classifications, wherein the mapping maps a first portion of the custom industry classifications to the standard industry classifications;
• wherein:
• the industry classification computer program receives the standard industry classifications and the standard industry descriptions from the first database;
• the industry classification computer program receives the custom industry classifications, the custom industry descriptions, and the mapping of the custom industry classifications to the standard industry classifications;
• the industry classification computer program generates a dataset comprising standard industry descriptions as inputs and custom industry classifications as outputs;
• the industry classification computer program converts the standard industry descriptions and unmapped portions of the custom industry descriptions to vector representations;
• the industry classification computer program performs similarity matching between the vector representations of the standard industry descriptions and the vector representations of the unmapped portions of the custom industry descriptions;
• the industry classification computer program assigns each of the unmapped portions of the custom industry descriptions to one of the standard industry descriptions based on the similarity matching;
• the industry classification computer program, trains a supervised classifier using the dataset and a plurality of startup company descriptions for a plurality of startup companies as inputs;
• and
• the industry classification computer program outputs a custom classification for each of the plurality of startup companies.

A non-transitory computer readable storage medium, including instructions stored thereon, which when read and executed by one or more computer processors, cause the one or more computer processors to perform steps comprising:

• receiving standard industry classifications and standard industry descriptions;
• receiving custom industry classifications, custom industry descriptions, and a mapping of the custom industry classifications to the standard industry classifications, wherein the mapping maps a first portion of the custom industry classifications to the standard industry classifications and wherein the mapping is provided by a subject matter expert;
• generating a dataset comprising standard industry descriptions as inputs and custom industry classifications as outputs;
• converting the standard industry descriptions and unmapped portions of the custom industry descriptions to vector representations;
• performing similarity matching between the vector representations of the standard industry descriptions and the vector representations of the unmapped portions of the custom industry descriptions;
• assigning each of the unmapped portions of the custom industry descriptions to one of the standard industry descriptions based on the similarity matching;
• training a supervised classifier using the dataset and a plurality of startup company descriptions for a plurality of startup companies as inputs;
• and
• outputting a custom classification for each of the plurality of startup companies.