James Wynn

Associate Professor Carnegie Mellon University

  • Pittsburgh PA

James Wynn's research and teaching explore science, mathematics and public policy from a rhetorical perspective.

Contact

Carnegie Mellon University

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Biography

James Wynn's research and teaching explore science, mathematics and public policy from a rhetorical perspective. He has written books on how mathematics gets argued into science and how the internet and internet-connected devices have supported and shaped the development of citizen science in the digital age, reshaping the relationships between scientists, lay persons and governments.

Areas of Expertise

Professional Writing
Rhetoric
Mathematics
Technical Writing and Communication
Citizen Science

Social

Industry Expertise

Public Policy
Writing and Editing

Education

University of Maryland

Ph.D.

English Literature and Language

Eastern Michigan University

B.S.

English Language and Literature

Case Western Reserve University

M.A.

Literature

Articles

Building Better Machine Learning Models for Rhetorical Analyses: The Use of Rhetorical Feature Sets for Training Artificial Neural Network Models

Technical Communication Quarterly

2022

In this paper, we investigate two approaches to building artificial neural network models to compare their effectiveness for accurately classifying rhetorical structures across multiple (non-binary) classes in small textual datasets. We find that the most accurate type of model can be designed by using a custom rhetorical feature list coupled with general-language word vector representations, which outperforms models with more computing-intensive architectures.

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