Lawrenceville, NJ, United States of America

Michael Flor


Average Co-Inventor Count = 2.6

ph-index = 4

Forward Citations = 61(Granted Patents)


Location History:

  • Lawrence, NJ (US) (2019)
  • Lawrenceville, NJ (US) (2013 - 2023)
  • Lawrence Township, NJ (US) (2023 - 2024)

Company Filing History:


Years Active: 2013-2025

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16 patents (USPTO):

Title: Inventor Spotlight: Michael Flor

Introduction

Michael Flor, an accomplished inventor based in Lawrenceville, NJ, boasts an impressive portfolio of 15 patents. His innovative contributions are primarily focused on enhancing educational technologies and narrative analysis through machine learning techniques.

Latest Patents

Among his latest patents, Flor has developed a groundbreaking system for machine learning-based automated narrative text scoring, which includes the characterization of emotional arcs. This invention leverages data from narrative texts, extracts significant events through tokenization, and generates a waveform that represents multiple emotional arcs within the text. It offers a novel approach to scoring narrative quality using a machine learning model that correlates these waveforms with narrative quality scores.

Additionally, Flor's patent on lexical concreteness in narrative text presents a computer-implemented technique for assessing the concreteness of words within a narrative. By filtering out function words and focusing on content words, this innovation assigns concreteness scores based on a database, greatly enhancing the analysis of narrative texts.

Career Highlights

Flor's career is marked by a commitment to advancing educational methodologies through technology. He works at the Educational Testing Service, where he has been instrumental in implementing innovative solutions that incorporate advanced data analysis and machine learning into educational assessments and narrative evaluations.

Collaborations

Collaboration is a key element of Flor's success. He has worked alongside prominent colleagues, including Beata Beigman Klebanov and Michael Heilman. Together, they contribute to the field of educational testing and narrative analysis, driving forward advancements that impact learners worldwide.

Conclusion

Michael Flor's contributions to the field of educational technology and narrative analysis through his patent portfolio not only showcase his innovative spirit but also underline the importance of integrating machine learning in evaluating narrative texts. His work continues to inspire advancements that enhance educational practices and assess narrative quality effectively. Through his inventions, Flor is paving the way for future developments in technology and education.

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