Patent ID: 11907660
Assignee: TEXT IQ, INC.
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 0:
1. A computer-implemented method for identifying documents that contain potential code words using a machine learning model, at least a portion of the method being performed by a computer system comprising one or more processors, the method comprising:
identifying, by the computer system, a plurality of document corpuses from a plurality of documents;
extracting, by the computer system, a set of word embeddings from each of the plurality of document corpuses such that multiple sets of word embeddings are extracted;
generating, by the computer system, a plurality of vector spaces for the sets of word embeddings using a machine learning model, with each set of word embeddings having a unique vector space;
grouping, by the computer system, the plurality of vector spaces in pairs, such that a first vector space of the plurality of vector spaces is grouped with a second vector space of the plurality of vector spaces in a first pair and a third vector space of the plurality of vector spaces in a second pair;
comparing, by the computer system, the word embeddings of the vector spaces that are paired to generate an alignment score for each pair of vector spaces;
identifying, by the computer system, a word embedding as a potential code word based on the alignment score between the vector spaces that are paired being below a threshold; and
identifying, by the computer system, one or more documents that contain the potential code word.