Invention Grant
- Patent Title: Utilizing machine learning and natural language processing to determine mappings between work items of various tools
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Application No.: US17306629Application Date: 2021-05-03
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Publication No.: US12014140B2Publication Date: 2024-06-18
- Inventor: Koushik M. Vijayaraghavan , Niju Prabha , Rajesh Nagarajan , Sarvesh Madhusudan Damle , Aditi Kulkarni , Jayashri Sridevi , Rashmi Jhawar , Prajwal Patrick Dsilva , Soumya Swarup Jena , Dhiviya Dhanasekaran , Meiyarasu Selvam , Girish Hulkoti
- Applicant: Accenture Global Solutions Limited
- Applicant Address: IE Dublin
- Assignee: Accenture Global Solutions Limited
- Current Assignee: Accenture Global Solutions Limited
- Current Assignee Address: IE Dublin
- Agency: Harrity & Harrity, LLP
- Main IPC: G06F40/279
- IPC: G06F40/279 ; G06F8/70 ; G06F9/445 ; G06F9/455 ; G06F11/07 ; G06F40/166 ; G06F40/247 ; G06N20/00

Abstract:
A device may receive work item data identifying work items associated with requirements from different tools of a project and may perform data cleansing to remove and/or modify particular words from the work item data and to generate cleansed work item data. The device may perform natural language processing on the cleansed work item data to identify synonyms for words in the cleansed work item data and may replace abbreviations in the cleansed work item data with full form text to generate final work item data. The device may identify keywords in the final work item data and may process the final work item data, the synonyms, and the keywords, with a machine learning model, to identify mappings between work items of the final work item data and to determine a confidence score for the mappings. The device may perform actions based on the mappings and the confidence score.
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