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

Claim 15:
16. A method comprising:
obtaining a first patent document;
analyzing the first patent document to identify a first claim of the first patent document, the first claim including a first plurality of words;
determining a first syntactic category for individual words of the first plurality of words of the first claim;
determining, based at least partly on syntactic categories of the individual words of the first plurality of words, a first number of groups of words that include the first plurality of words of the first claim;
generating a first claim profile for the first claim that includes values for a first set of metrics, the first set of metrics determined by at least one machine learning model and corresponding to at least one of the first number of groups of words of the first claim or the syntactic categories;
determining a first rating for the first claim based at least partly on a value of a first metric of the first set of metrics with respect to a framework of thresholds for the first metric;
receiving at least one additional patent document from a searching authority, the at least one additional patent document being ranked by the searching authority and related to the first patent document;
analyzing content of the at least one additional patent document to identify at least one additional claim, the at least one additional claim including a plurality of additional words;
determining an additional syntactic category for additional individual words of the plurality of additional words;
determining, based at least partly on additional syntactic categories of the additional individual words, a number of additional groups of words that include the plurality of additional words;
generating an additional claim profile for the at least one additional claim that includes additional values for an additional set of metrics, the additional set of metrics determined by at least one machine learning model and corresponding to at least one of the number of additional groups of words of the at least one additional claim or the additional syntactic categories;
determining an additional rating for the at least one additional claim based at least partly on an additional value of an additional metric of the additional set of metrics with respect to an additional framework of thresholds for the additional metric;
determining that the first set of metrics and the additional set of metrics are similar;
generating, based at least in part on the determination, a peer group claim set profile;
receiving a request to perform a linguistic analysis of the peer group claim set profile;
receiving a request for 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 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 at least one additional patent document based on selected data points; and
generating data of a user interface that includes at least one claim profile of the peer group claim set profile, the first rating, or the additional rating, wherein the data indicates the re-ranking.