Charlotte, NC, United States of America

Matthew A Campbell

USPTO Granted Patents = 2 

Average Co-Inventor Count = 7.0

ph-index = 1

Forward Citations = 3(Granted Patents)


Company Filing History:


Years Active: 2024-2025

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2 patents (USPTO):Explore Patents

Title: Innovations by Matthew A Campbell

Introduction

Matthew A Campbell is an accomplished inventor based in Charlotte, NC (US). He has made significant contributions to the field of natural language processing through his innovative patents. With a total of 2 patents, Campbell's work focuses on enhancing machine learning models to better understand and summarize large volumes of text.

Latest Patents

One of his latest patents involves adversarial input generation for natural language processing machine learning models. This patent discloses methods, systems, and machine-readable mediums that provide summaries of topics determined within a corpus of documents. These summaries are particularly useful for customer service associates, analysts, or other users who need to quickly ascertain the topics discussed and the contexts of those topics over extensive text collections. For instance, a corpus of documents related to customer complaints may yield summaries such as 'credit report update due to stolen identity.' Such summarizations enable users to efficiently spot trends and issues.

Career Highlights

Matthew A Campbell is currently employed at Wells Fargo Bank, N.A., where he applies his expertise in machine learning and natural language processing. His role allows him to work on cutting-edge technologies that improve customer service and operational efficiency.

Collaborations

Some of his notable coworkers include Rahul Singh and Karan Jindal, who contribute to the innovative environment at Wells Fargo Bank.

Conclusion

Matthew A Campbell's contributions to the field of natural language processing through his patents demonstrate his commitment to innovation and technology. His work not only enhances machine learning models but also provides practical solutions for real-world applications.

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