Blei, David M., Andrew Y. Ng, and Michael I. Jordan. 2003. “Latent Dirichlet Allocation.” Journal of Machine Learning Research 3 (Jan): 993–1022.
Chamberlain, Scott. 2019. Fulltext: Full Text of ’Scholarly’ Articles Across Many Data Sources.
Chang, Jonathan, Sean Gerrish, Chong Wang, Jordan L Boyd-Graber, and David M Blei. 2009. “Reading Tea Leaves: How Humans Interpret Topic Models.” In Advances in Neural Information Processing Systems, 288–96.
De Waal, Alta, and Etienne Barnard. 2008. “Evaluating Topic Models with Stability.” In, 5221:79–84. Nineteenth Annual Symposium of the Pattern Recognition Association of South Africa (PRASA 2008).
Feinerer, Ingo, and Kurt Hornik. 2018. Tm: Text Mining Package.
Fournier, Auriel M. V., Matthew E. Boone, Forrest R. Stevens, and Emilio Bruna. 2019. “Refsplitr: Author Name Disambiguation, Author Georeferencing, and Mapping of Coauthorship Networks with Web of Science Data.” Journal of Open Source Software 5.
Fraser, Kevin C., Kimberley T. A. Davies, Christina M. Davy, Adam T. Ford, D. T. Tyler Flockhart, and Eduardo G. Martins. 2018. “Tracking the Conservation Promise of Movement Ecology.” Frontiers in Ecology and Evolution 6.
Griffiths, Thomas L., and Mark Steyvers. 2004. “Finding Scientific Topics.” Proceedings of the National Academy of Sciences 101 (suppl 1): 5228–35.
Grün, Bettina, and Kurt Hornik. 2011. topicmodels: An R Package for Fitting Topic Models.” Journal of Statistical Software 40 (13): 1–30.
Holyoak, Marcel, Renato Casagrandi, Ran Nathan, Eloy Revilla, and Orr Spiegel. 2008. Trends and missing parts in the study of movement ecology. Proceedings of the National Academy of Sciences of the United States of America 105 (49): 19060–65.
Ingason, A. K., S. Helgadóttir, H. Loftsson, and E. Rögnvaldsson. 2008. “A Mixed Method Lemmatization Algorithm Using a Hierarchy of Linguistic Identities (HOLI).” Advances in Natural Language Processing 5221: 205–16.
Nathan, R, W M Getz, E Revilla, M Holyoak, R Kadmon, D Saltz, and P E Smouse. 2008. A movement ecology paradigm for unifying organismal movement research.” PNAS 105 (49): 19052–59.
R Core Team. 2018. R: A Language and Environment for Statistical Computing. Vienna, Austria: R Foundation for Statistical Computing.
Rinker, Tyler W. 2018. textstem: Tools for Stemming and Lemmatizing Text. Buffalo, New York.
Silge, Julia, and David Robinson. 2016. “Tidytext: Text Mining and Analysis Using Tidy Data Principles in r.” JOSS 1 (3).
Wainwright, Martin J., and Michael I. Jordan. 2008. “Graphical Models, Exponential Families, and Variational Inference.” Foundations and Trends® in Machine Learning 1 (1–2): 1–305.
Wickham, Hadley, James Hester, and Jeroen Ooms. 2018. Xml2: Parse XML.