Patent ID: 11893537
Assignee: AON RISK SERVICES, INC. OF MARYLAND
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 0:
1. A method comprising:
obtaining a first patent document;
analyzing content of the first patent document to identify a first claim of the first patent document, the first claim including a first plurality of words;
performing a first linguistic analysis of the first plurality of words of the first claim;
generating, based at least partly on the first linguistic analysis, a first tag for at least one word of the first plurality of words of the first claim, the first tag being one of a first plurality of first tags and the first tag being applied to a first syntactic category corresponding to the at least one word;
generating a first profile for the first claim that includes a first set of metrics for the first claim, the first set of metrics being determined by at least one machine learning model and based at least partly on the first plurality of first tags applied to at least a portion of the first plurality of words of the first claim;
receiving additional patent documents from a searching authority, the additional patent documents being ranked by the searching authority and related to the first patent document;
analyzing additional content of the additional patent documents to identify a second claim of the additional patent documents, the second claim including a second plurality of words;
performing a second linguistic analysis on the second plurality of words of the second claim;
generating, based at least partly on the second linguistic analysis, a second tag for at least one word of the second plurality of words of the second claim of the additional patent documents, the second tag being of a second plurality of second tags and the second tag being applied to at least a portion of the second plurality of words from the second claim;
generating a second profile that includes a second set of metrics, the second set of metrics being determined by the at least one machine learning model and based at least partly on the second plurality of second tags applied to at least a portion of the second plurality of words of the second claim;
determining that the first plurality of first tags and the second plurality of second tags are similar,
generating, based at least in part on the determination, a peer group claim set profile;
receiving a request to perform a third linguistic analysis of the peer group claim set profile;
receiving a request for third linguistic analysis results to be displayed in a specific ranking associated with a selected relevancy of multiple selectable data points, wherein the request indicates the third linguistic analysis results are to be ranked based at least in part on selected data points, the selected data points based at least in part on the selected relevancy of multiple selectable data points;
re-ranking the additional patent documents based on the selected data points; and
generating data of a user interface that includes at least one claim profile of the peer group claim set profile, wherein the data indicates the re-ranking.