Systems and methods for parsing log files using classification and plurality of neural networks

US10452700B1 · kind B1 · utility

Assignee

• CAPITAL ONE SERVICES, LLC · US

Inventors

• Anh Truong · Champaign, US
• Fardin Abdi Taghi Abad · Champaign, US
• Austin Walters · McLean, US
• Jeremy Goodsitt · Champaign, US
• Vincent Pham · Champaign, US
• Kate Key · Effingham, US

Key dates

• Filing date: Oct 17, 2018
• Grant date: Oct 22, 2019
• Expiry date: Oct 17, 2038

Classification

• Technology area (CPC G): Physics
• CPC primary: G06N3/096
• WIPO field: Computer technology
• WIPO sector: Electrical engineering

Abstract

The present disclosure relates to systems and methods for parsing unstructured data with neural networks. In one implementation, a system for parsing unstructured data may include at least one processor and at least one non-transitory memory storing instructions that, when executed by the at least one processor, cause the system to: receive unstructured data; apply a classifier to the unstructured data to identify a type of the unstructured data; based on the identification, select a corresponding neural network; apply the selected neural network to the unstructured data to obtain structured data; and output the structured data.