Artificial intelligence and/or machine learning systems and methods for evaluating audiences in an embedding space based on keywords

A non-transitory, processor-readable medium storing code representing instructions to be executed by a processor, the code comprising code to cause the processor to:

• access an embedding space generated based on a natural language corpus;
• identify one audience device and a device record associated with the audience device;
• determine a position of the audience device in the embedding space based on the device record;
• determine a position of each search query from a plurality of search queries in the embedding space;
• calculate a distance between the position of the audience device in the embedding space and the position of each search query from at least a subset of the plurality of search queries in the embedding space;
• and
• send, to a content provider, a ranked list of the search queries from the subset of the plurality of search queries based on the distance, in the embedding space and for each search query from the plurality of search queries, between the position of the audience device and the position of that search query.