Shenzhen, China

Guanglei Du

This inventor holds 1 USPTO granted patent. Top assignee: Tencent Technology (Shenzhen) Company Limited. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Guanglei Du. Retrieved from https://idiyas.com/inventor/guanglei-du-nt3wu85t

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

Calculating rank

Average Co-Inventor Count = 1.0


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Guanglei Du and AI-Based Text Mining

Introduction

Guanglei Du is an inventor associated with Shenzhen, China, and Tencent Technology (Shenzhen) Company Limited. His work includes an artificial intelligence-based approach to identifying new terms in specialized domains.

Latest Patents

The supplied information lists one patent for Guanglei Du: Text Mining Method Based on Artificial Intelligence, Related Apparatus and Device. The application describes a computer-implemented method that evaluates domain candidate terms using term features and quality scores, selects promising new terms, and analyzes associated text to determine whether a domain seed term meets the conditions for recognition as a new domain term. The approach is intended to automate term selection with machine learning, reduce manual effort, and adapt to the rapid emergence of specialized terminology online. The supplied patent count is 1 patent.

Career Highlights

Du is associated with Tencent Technology (Shenzhen) Company Limited. The described invention applies artificial intelligence and machine learning to text mining, with a focus on discovering emerging terminology in specialized domains.

Collaborations

The supplied information identifies Zhilin Shi as Du’s coworker. No further details about their collaboration are provided.

Conclusion

Guanglei Du’s listed patent presents an automated method for finding domain-specific new terms, reflecting the use of artificial intelligence to make text mining more efficient.

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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