Rajarhat, India

Gopal Bhageria

This inventor holds 1 USPTO granted patent. Top assignee: International Business Machines Corporation. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Gopal Bhageria. Retrieved from https://idiyas.com/inventor/gopal-bhageria-8trnhurh

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile


Average Co-Inventor Count = 1.0


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Gopal Bhageria: Inventor in Machine Learning

Introduction

Gopal Bhageria is an inventor based in Rajarhat, India, and is associated with International Business Machines Corporation. His patent work focuses on applying machine learning and cognitive analysis to identify useful keywords from meeting content.

Latest Patents

Bhageria is credited with 1 patent, titled “Machine learning of keywords.” The invention describes a method, computer program product, and system that obtain content from a meeting-hosting system during a predefined interval and parse its text to identify potential keywords. The system then repeatedly analyzes those candidates to determine which meet a maturity threshold for inclusion as seed keywords in a data structure. It updates that structure during the analysis and outputs it after the predefined number of iterations is complete.

Career Highlights

Bhageria’s listed invention connects meeting content processing with iterative keyword evaluation. Its approach is designed to distinguish mature, useful keywords from other candidates and organize the selected terms in a data structure.

Collaborations

The patent is associated with International Business Machines Corporation, reflecting Bhageria’s connection to the company’s work in machine learning and information processing.

Conclusion

Gopal Bhageria’s patent presents a structured approach to extracting and evaluating keywords from meeting content through iterative cognitive analysis.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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