Mebane, NC, United States of America

Ethan A Geyer

USPTO Granted Patents = 7 

Average Co-Inventor Count = 6.4

ph-index = 3

Forward Citations = 16(Granted Patents)


Company Filing History:


Years Active: 2019-2022

where 'Filed Patents' based on already Granted Patents

7 patents (USPTO):

Title: **Ethan A Geyer: A Pioneer in Collaborative Natural Language Processing**

Introduction

Ethan A Geyer, a prominent inventor based in Mebane, NC, has made significant contributions to the field of natural language processing. With a total of seven patents to his name, Geyer focuses on innovations that enhance collaborative communication through advanced text classification methods.

Latest Patents

Among his latest inventions, Geyer's patent titled "Composable natural language lenses for collaborative streams" stands out. This invention involves the identification of content classes important to users and utilizes classifiers trained on user communication text to recognize matching content. A composite classifier is then applied to the text among a second set of users, efficiently tagging content based on the recognized classes. Additionally, his patent on "Familiarity-based text classification framework selection" introduces a system for assessing participant familiarity within electronic message threads. By establishing a familiarity score based on various criteria, this framework models the interactions and effectively selects a suitable text classification framework for enhanced communication.

Career Highlights

Ethan Geyer is currently associated with the International Business Machines Corporation (IBM), where he leverages his innovative skills to push the boundaries of technology in natural language processing. His dedication to improving communication technologies reflects his commitment to enhancing user interactions in digital spaces.

Collaborations

Throughout his career, Geyer has had the opportunity to collaborate with talented individuals such as Jonathan Frederick Brunn and Jonathan D Dunne. These collaborations have likely contributed to his innovative approaches and the successful development of his patents.

Conclusion

Ethan A Geyer's work is characterized by a profound understanding of collaborative communication and natural language processing. His seven patents, particularly in composable natural language lenses and familiarity-based classification, underscore his status as a leading inventor in the field. As he continues to innovate at IBM, Geyer's contributions are sure to influence the future of technology in meaningful ways.

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