State Farm Mutual Automobile Insurance Company

Pat J Johnson

Brian Mark Fields

Jufeng James Peng

Mark O'Flaherty

Jason Freeck

James Maxwell McWilliams

A method for electronically mining intellectual property using an associative discovery process may include determining a set of documents containing keywords and/or phrases associated with an industry trend of interest. The method may also include determining a feedback score for each document in the set, determining an optimal weighing scheme for the determined keywords and/or phrases using a statistical learning model and the feedback scores, ranking all documents in the set of documents according to the optimal weighing scheme, and providing results of the associative discovery process to a user.

Systems and methods for electronically mining intellectual property

A method for electronically mining intellectual property using an associative discovery process may include determining a set of documents containing keywords and/or phrases associated with an industry trend of interest and, for each document, assigning a weight. The method may also include selecting a subset of the documents based at least upon the assigned weights, and determining a feedback score for each document in the subset. The method may further include determining an optimal weighing scheme for the determined keywords and/or phrases using a statistical learning model and the feedback scores, ranking all documents in the set of documents according to the optimal weighing scheme, and providing results of the associative discovery process to a user.

A data analysis method and computer system electronically mines potential intellectual property related to enterprise business needs. The method and system may utilize various text mining techniques to perform associative discovery, where existing enterprise documents or data are harvested and correlated with the latest industry trends in order to inspire new insights and stimulate the discovery of new or potential intellectual property. In one aspect, an area of interest may be identified. After which, identifiers associated with the area of interest, e.g., keywords and/or linking terms, may be determined. An enterprise database may be searched using the identifiers. The documents flagged by the search may be ranked with respect to their relevance to the area of interest based upon which and/or how many identifiers are contained within each respective document. The identification of highly relevant documents associated with an area of interest may lead to discovery of intellectual property.

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Champaign, IL, United States of America

Pat J Johnson