Matthew Jockers
Matthew Jockers
Professor of English and Data Analytics, Washington State University
Verified email at wsu.edu - Homepage
Title
Cited by
Cited by
Year
Macroanalysis: Digital methods and literary history
ML Jockers
University of Illinois Press, 2013
10592013
Text Analysis with R
ML Jockers, R Thalken
Springer International Publishing, 2020
2492020
A comparative study of machine learning methods for authorship attribution
ML Jockers, DM Witten
Literary and Linguistic Computing 25 (2), 215-223, 2010
2112010
Significant themes in 19th-century literature
ML Jockers, D Mimno
Poetics 41 (6), 750-769, 2013
1512013
Quantitative formalism: an experiment
S Allison, R Heuser, M Jockers, F Moretti, M Witmore
Universitätsbibliothek Johann Christian Senckenberg, 2011
1292011
Reassessing authorship of the Book of Mormon using delta and nearest shrunken centroid classification
ML Jockers, DM Witten, CS Criddle
Literary and Linguistic Computing 23 (4), 465-491, 2008
1022008
Syuzhet: Extract sentiment and plot arcs from text
ML Jockers
Retrieved October 21, 2015, 2015
942015
The bestseller code: Anatomy of the blockbuster novel
J Archer, ML Jockers
St. Martin's Press, 2016
832016
Digital Methods and Literary History
MLM Jockers
Chicago: U of Illinois P, 2013
462013
Package ‘syuzhet’
M Jockers
URL: https://cran. r-project. org/web/packages/syuzhet, 2017
392017
Revealing sentiment and plot arcs with the syuzhet package
ML Jockers
Matthew L. Jockers, 2015
382015
Text‐mining the humanities
ML Jockers, T Underwood
A new companion to digital humanities, 291-306, 2015
372015
Introduction to the Syuzhet package
M Jockers
The Comprehensive R Archive Network 13, 2017
302017
A multiscale theory for the dynamical evolution of sentiment in novels
J Gao, ML Jockers, J Laudun, T Tangherlini
2016 International Conference on Behavioral, Economic and Socio-cultural …, 2016
242016
Testing authorship in the personal writings of Joseph Smith using NSC classification
ML Jockers
Literary and linguistic computing 28 (3), 371-381, 2013
242013
Syuzhet: extract sentiment and plot arcs from text. 2015
ML Jockers
URL: https://github. com/mjockers/syuzhet, 2020
192020
Understanding gender and character agency in the 19th century novel
M Jockers, G Kirilloff
SocArXiv, 2018
192018
A novel method for detecting plot
M Jockers
Matthew L. Jockers, 2014
172014
Special issue title: Topic models and the cultural sciences
JW Mohr, P Bogdanov
Poetics 41 (6), 545-569, 2013
172013
Computing and Visualizing the 19th-Century Literary Genome.
ML Jockers
DH, 242-244, 2012
172012
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