Patent ID: 11922122
Assignee: CALABRIO, INC.
Field: Computer technology (Electrical engineering)
Classification: CPC G  H | IPC G  H

Claim 5:
6. The computer-implemented method of claim 1, wherein determining whether the data segment belongs to the familiar topic of a set of familiar topics comprises:
transforming the data segment into a current feature vector;
mapping the current feature vector onto a feature space, the feature space mapped with a set of familiar topic feature vectors associated with the set of familiar topics;
for each familiar topic feature vector:
determining a deviation distance between the current feature vector to the familiar topic feature vector; and
determining a similarity score indicative of how similar the current feature vector is to an associated familiar topic; and

determining a highest similarity score that exceeds a similarity score threshold, identifying the data segment as belonging to the familiar topic associated with the highest similarity score; or
upon determining no similarity score exceeds the similarity score threshold, identifying the data segment as belonging to none of the set of familiar topics.