Taylor Arnold

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Taylor Arnold

Associate Professor
University of Richmond
Linguistics and Data Science
Distant Viewing Lab

I apply and develop corpus-based techniques to study how messages are communicated through texts and visual media. My research engages with several disciplines, including corpus linguistics, semiotics, pragmatics, data science and media studies.

J'applique et développe des techniques basées sur des corpus pour étudier les façons dont les messages sont communiqués à travers les textes et les médias visuels. Mes recherches concernent plusieurs domaines, dont la sémiotique, la pragmatique, la science des données et la sociologie des médias.

Publications: Books

T. Arnold and L. Tilton. Distant Viewing: Analysing Visual Culture at Scale. (The MIT Press, Forthcoming).
T. Arnold, C. Rivard and L. Tilton. Writing Their Voices. (Stanford University Press, 2021). [html]
T. Arnold, B. Lewis and M. Kane. A Computational Approach to Statistical Learning. (CRC Press, 2019). [html]
T. Arnold and L. Tilton. Humanities Data in R: Exploring Networks, Geospatial Data, Images, and Text. (Springer, 2015). [html]

Publications: Papers / Chapters

T. Arnold, J. v. Gorp, S. Scagliola and L. Tilton. "Special Issue: AudioVisual Data in DH." Digital Humanities Quarterly, 15.1 (2021). [html]
T. Arnold and L. Tilton. "Depth in Deep Learning: Knowledgeable, Layered, and Impenetrable." In: Redrobe, K. and Scheible, J. (Eds.) Deep Mediations. University of Minnesota Press. [pdf]
T. Arnold and L. Tilton. "Enriching Historic Photography with Structured Data using Image Region Segmentation." Proceedings of the First Artificial Intelligence for Historical Image Enrichment and Access (AI4HI). [pdf]
T. Arnold and L. Tilton. "Distant Viewing Toolkit: A Python Package for the Analysis of Visual Culture." Journal of Open Source Software. [pdf]
N. Bailler, E. Paquetet and T. Arnold. "Investigating Keylogs as Time-Stamped Graphemics." Graphemics in the 21st Century, pages 353-366. [pdf]
E. Burns, T. Arnold and C. Bukach. "P-curving the fusiform face area: Meta-analyses support the expertise hypothesis." Neuroscience and Biobehavioral Reviews. [pdf]
T. Arnold and L. Tilton. "Visual Style in Two Network Era Sitcoms." Cultural Analytics (2019). [pdf]
T. Arnold and L. Tilton. "Distant Viewing: Analyzing Large Visual Corpora." Digital Scholarship in the Humanities. [pdf]
T. Arnold, N. Ballier, P. Lissón and L. Tilton. "Beyond Lexical Frequencies: Using R for Text Analysis in the Digital Humanities." Language Resources and Evaluation. [pdf]
T. Arnold and L. Tilton. "What's in a Name?". Debates in DH 2020, Institutions, Infrastructures at the Interstices. Minneapolis: University of Minnesota Press (2020).
T. Arnold, C. Rivard, L. Tilton. "Building Pedagogy into Project Development: Making Data Construction Visible in Digital Projects." Digital Humanities Quarterly, 13.2 (2019). [html]
T. Arnold. "Industrial Research in Applied Statistics." Notices of the American Mathematical Society (2019). [pdf]
T. Arnold and L. Tilton. "Cross-Discourse and Multilingual Exploration of Textual Corpora with the DualNeighbors Algorithm." Proceedings of the 2nd Joint SIGHUM Workshop (LaTeCH-CLfL 2018). [pdf]
T. Arnold, N. Ballier, T. Gaillat and P. Lissòn. "Predicting CEFRL Levels in Learner English on the Basis of Metrics and Full Texts." Proceedings of the Confèrence sur l'Apprentissage Automatique (CAp) (CAp 2018). [pdf]
T. Arnold and L. Tilton. "New Data: The Role of Statistics in DH." Debates in DH 2019. Minneapolis: University of Minnesota Press (2019). [html]
T. Arnold. "A Tidy Data Model for Natural Language Processing Using cleanNLP." The R Journal, 9.2 (2017): 248-267. [pdf]
T. Arnold. "kerasR: Interface to the Keras Deep Learning Library." Journal of Open Source Software, 2.14 (2017): 296. [pdf]
T. Arnold, M. Kane and S. Urbanek. "High-Performance I/O Tools for R." The R Journal, 9.1 (2017): 6-13. [pdf]
T. Arnold, P. Leonard and L. Tilton. "Knowledge Creation Through Recommender Systems." Digital Scholarship in the Humanities, 32.3 (2017): 151-157. [pdf]
T. Arnold, S. Maples, L. Tilton and L. Wexler. "Uncovering Latent Metadata in the FSA-OWI Photographic Archive." Digital Humanities Quarterly, 11.2 (2017). [html]
T. Arnold and L. Tilton. "Basic Text Processing in R." The Programming Historian, 6.1 (2017).
T. Arnold and R. Tibshirani. "Efficient Implementations of the Generalized Lasso Dual Path Algorithm." Journal of Computational and Graphical Statistics, 25.1 (2016): 1-27. [pdf]
T. Grippo, J. Liu, N. Zebardast, T. Arnold, G. Moore and R. Weinreb. "Twenty-Four–Hour Pattern of Intraocular Pressure in Untreated Patients with Ocular Hypertension." Investigative Ophthalmology and Visual Science, 54.1 (2015): 512-517. [pdf]
J. Emerson and T. Arnold. "Nonparametric Goodness-of-Fit Tests for Discrete Null Distributions." The R Journal, 3.2 (2011): 34-39. [pdf]
T. Arnold and J. Emerson. "Statistical Sleuthing by Leveraging Human Nature: A Study of Olympic Figure Skating." The American Statistician, 65.3 (2011): 143-148. [pdf]
B. Russett and T. Arnold. "Who Talks, and Who's Listening? Networks of International Security Studies." Security Dialogue, 41.6 (2010): 589-595. [pdf]

Code / Data / Other Projects

T. Arnold, N. Ayers, J. Madron, R. Nelson, L.Tilton, L. Wexler. Photogrammar, Version 3. [html]
T. Arnold and L. Tilton. "Distant Viewing Toolkit for the Analysis of Visual Culture." [html]
T. Arnold. "cleanNLP: An R Package and Tidy Data Model for Natural Language Processing." [html]

Recent Course Websites

DSST 389: Statistical Learning (Spring 2021) [html]
DSST 289: Data Science (Fall 2020) [html]
DSST 209: Introduction to Modeling (Spring 2019) [html]