Project Quintessence: A Dynamic Explorer for Early Modern Texts, UC Davis DataLab. 2021. http://quintessence.ds.library.ucdavis.edu.
Samuel Pizelo (co-creator)
Arthur Koehl (co-creator)
Carl Stahmer, PhD (Executive Director of DataLab)
Chandni Nagda
Samuel Pizelo
Arthur Koehl
Kimmy Hescock
Early English Books Online Text Creation Partnership, 2011. Web. https://quod.lib.umich.edu/e/eebogroup/.
Early English Books Online. Web. https://search.proquest.com/eebo/advanced.
Early Modern Print: Text Mining Early Printed English. Humanities Digital Workshop at Washington University in St. Louis.https://earlyprint.wustl.edu
Goldstone, Andrew, “dfr-browser”, http://agoldst.github.io/dfr-browser
Burns, Philip R. (2013) "MorphAdorner v2: A Java Library for the Morphological Adornment of English Language Texts." Evanston, IL. Northwestern University. Web. https://morphadorner.northwestern.edu/morphadorner/download/morphadorner.pdf.
Sievert, Carson, 2015. LDAvis: Interactive Visualization of Topic Models. R package version 0.3.2.
Blei, David M., et al. “Latent Dirichlet Allocation.” Journal of Machine Learning Research, vol. 3, Mar. 2003, pp. 993--1022.
Blei, David M., and John D. Lafferty. “A Correlated Topic Model of Science.” The Annals of Applied Statistics, vol. 1, June 2007, pp. 17--35, doi:10.1214/07-AOAS114.
Garg, Nikhil, et al. “Word Embeddings Quantify 100 Years of Gender and Ethnic Stereotypes.” National Academy of Sciences, vol. Proceedings of the Natioanl Academy of Sciences vol. 115 no. 16 E3635-E3644, Apr. 2018.
Hamilton, William L., et al. “Diachronic Word Embeddings Reveal Stastical Laws of Semantic Change.” Association for Computational Linguistics, vol. Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), Aug. 2016, pp. 1489--1501, doi:10.18653/v1/P16-1141.
Kim, Yoon, et al. “Temporal Analysis of Language through Neural Language Models.” Association for Computational Linguistics, vol. Proceedings of the {ACL} 2014 Workshop on Language Technologies and Computational Social Science, June 2014, pp. 61--65, doi:10.3115/v1/W14-2517.
Kulkarni, Vivek, et al. “Stastically Significant Detection of Linguistic Change.” WWW ’15, vol. Proceedings of the 24th International Conference on World Wide Web, May 2015, pp. 625--635, doi:10.1145/2736277.2741627.
Miklov, Tomas, et al. Efficient Estimation of Word Representations in Vector Space. 2013, http://arxiv.org/abs/1301.3781.