Patent ID: 11914963
Assignee: THETA LAKE, INC.
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 0:
1. A semantic classification system comprising:
a processor;
a memory for storing a category, the category comprising a collection of semantic concepts, the collection of semantic concepts comprising a first semantic concept and a second semantic concept, each semantic concept in the collection of semantic concepts having an associated label and comprising a collection of semantically related words, sub-words, or phrases;
a non-transitory, computer-readable medium storing a set of instructions that are executable by the processor, the set of instructions comprising instructions for:
receiving a digital text to be evaluated against the category;
converting the digital text into a plurality of embedded text segments using an embedding;
converting the category into an embedded category comprising a plurality of embedded semantic concepts, said converting the category into the embedded category comprising embedding the collection of semantic concepts using the embedding;
determining a relatedness score for each of the plurality of embedded text segments with respect to each of the plurality of embedded semantic concepts to determine a plurality of relatedness scores;
determining that the digital text is related to the category based on the plurality of relatedness scores, the determining comprising comparing each relatedness score of the plurality of relatedness scores to a relatedness threshold for the collection of semantic concepts;
selecting a first semantic concept from the collection of semantic concepts for annotation based on the relatedness score corresponding to the first semantic concept satisfying the relatedness threshold;
based on a determination that the digital text is related to the category, annotating the digital text with the label of the first selected semantic concept of the category; and
storing the annotated digital text.