The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Jun. 27, 2023

Filed:

Aug. 29, 2019
Applicant:

Accenture Global Solutions Limited, Dublin, IE;

Inventors:

Krishna Kummamuru, Bangalore, IN;

Bibudh Lahiri, Noida, IN;

Guruprasad Dasappa, Bangalore, IN;

Arjun Atreya V, Bangalore, IN;

Alexander Frederick John Piers Hall, Singapore, SG;

Sven Ruytinx, Kuala Lumpur, MY;

Cyrille Witjas, Singapore, SG;

Assignee:
Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06F 17/00 (2019.01); G06N 20/00 (2019.01); G06N 5/02 (2023.01); G06F 16/9038 (2019.01); G06F 16/903 (2019.01); G06F 16/93 (2019.01);
U.S. Cl.
CPC ...
G06N 20/00 (2019.01); G06F 16/9038 (2019.01); G06F 16/90335 (2019.01); G06F 16/93 (2019.01); G06N 5/02 (2013.01);
Abstract

An Artificial Intelligence (AI)-based innovation data processing system receives at least one query word related to a category. Information material including textual and non-textual data is retrieved from a plurality of data sources using the at least one query word. The information material is tokenized and parsed using a dependency parser for entity recognition, building entity relationships and for generating knowledge graphs. The output of the dependency parser is accessed by a trained classifier for obtaining respective confidence levels for each of the sentences in the textual data. The confidence levels are compared to a predetermined threshold confidence level for determining if the sentences include references to innovations. In addition, trends in the innovations are determined and responses to user queries are generated based on one or more of knowledge graphs and the trends.


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