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 (5)
Technical Writing and Communication
Industry Expertise (2)
Writing and Editing
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
Building Better Machine Learning Models for Rhetorical Analyses: The Use of Rhetorical Feature Sets for Training Artificial Neural Network ModelsTechnical 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.