Bibliography – Text Classification

Selected DH research and resources bearing on, or utilized by, the WE1S project.
(all) Distant Reading | Cultural Analytics | | Sociocultural Approaches | Topic Modeling in DH | Non-consumptive Use

Kwak, Haewoon, Jisun An, and Yong-Yeol Ahn. “A Systematic Media Frame Analysis of 1.5 Million New York Times Articles from 2000 to 2017.” ArXiv:2005.01803 [Cs], 2020. Cite
Hvitfeldt, Emil, and Julia Silge. Supervised Machine Learning for Text Analysis in R. Emil Hvitfeldt and Julia Silge, 2020. Cite
Ford, Clay. “The Wilcoxon Rank Sum Test.” University of Virginia Library Research Data Services + Sciences, 2017. Cite
Lijffijt, Jefrey, Terttu Nevalainen, Tanja Säily, Panagiotis Papapetrou, Kai Puolamäki, and Heikki Mannila. “Significance Testing of Word Frequencies in Corpora.” Literary and Linguistic Computing 31, no. 2 (2016): 374–97. Cite
Long, Hoyt, and Richard Jean So. “Literary Pattern Recognition: Modernism between Close Reading and Machine Learning.” Critical Inquiry 42, no. 2 (2016): 235–67. Cite
Freitas, Alex A. “Comprehensible Classification Models: A Position Paper.” In ACM SIGKDD Explorations, 15.1:1–10. Association for Computing Machinery, 2014. Cite
Hand, David J. “Classifier Technology and the Illusion of Progress.” Statistical Science 21, no. 1 (2006): 1–14. Cite
Sebastiani, Fabrizio. “Machine Learning in Automated Text Categorization.” ACM Computing Surveys (CSUR) 34, no. 1 (2002): 1–47. Cite