Patent ID: 11893503
Assignee: ACCENTURE GLOBAL SOLUTIONS LIMITED
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 9:
10. A computer-implemented method for machine learning based semantic structural hole identification, the method comprising:
generating, by at least one hardware processor, a semantic network from a corpus of text elements;
identifying semantic holes in the semantic network;
based on a number of the semantic holes in comparison to the text elements of the corpus, determining semantic porosity of the corpus;
based on the semantic porosity of the corpus, determining a performance impact of utilization of the corpus to generate an application by using the text elements without filling the semantic holes;
determining whether the performance impact of utilization of the corpus to generate the application without filling the semantic holes is greater than or equal to an impact threshold; and
based on a determination that the performance impact of utilization of the corpus to generate the application without filling the semantic holes is greater than or equal to the impact threshold, filling the semantic holes and utilizing the text elements of the corpus with the semantic holes filled to generate the application.