US 11,868,735 B1
Methods and apparatus for analyzing internal communications within an organization using natural language processing to recommend improved interactions and identify key personnel
Ryan Marples, Vancouver (CA); Pratikkumar Maheshbhai Patel, Nutley, NJ (US); Alex Wong, Matawan, NJ (US); Jennifer Cafiero, Clark, NJ (US); and Aaron D. Jeskie, Brick, NJ (US)
Assigned to iCIMS, Inc., Holmdel, NJ (US)
Filed by iCIMS, Inc., Holmdel, NJ (US)
Filed on Sep. 14, 2022, as Appl. No. 17/932,156.
Int. Cl. G06F 40/35 (2020.01); G06Q 10/101 (2023.01)
CPC G06F 40/35 (2020.01) [G06Q 10/101 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A computer-implemented method, comprising:
receiving, via at least two communication platforms, communication data including an interaction between at least two individuals in an organization, each individual from the at least two individuals associated with an expertise score for a topic;
extracting, via a processor and using natural language processing, content related to the topic from the communication data to produce extracted content;
determining, via the processor, a frequency of interaction related to the topic between the at least two individuals based on the extracted content; and
generating, via the processor, a map representative of social interaction within the organization, the map including an indication of the frequency of interaction related to the topic; and
for each individual from the at least two individuals, determining, via the processor, a collaborator score associated with the topic based on that individual's frequency of the interaction related to the topic and the expertise score of the other individual from the at least two individuals in the interaction; and
providing, to a compute device, a signal representing the collaborator score for each individual from the at least two individuals.