Day 7 References
Benoit, Kenneth, and Akitaka Matsuo. 2020. “Spacyr: Wrapper to the ’spaCy’ ’NLP’ Library.”
Benoit, Kenneth, David Muhr, and Kohei Watanabe. 2020. “Stopwords: Multilingual Stopword Lists.”
Benoit, Kenneth, Kohei Watanabe, Haiyan Wang, Paul Nulty, Adam Obeng, Stefan Müller, and Akitaka Matsuo. 2018. “Quanteda: An R Package for the Quantitative Analysis of Textual Data.” Journal of Open Source Software 3 (30): 774. https://doi.org/10.21105/joss.00774.
Blei, David, Andrew Ng, and Michael Jordan. 2003. “Latent Dirichlet Allocation.” Journal of Machine Learning Research 3: 993–1022.
Feinerer, Ingo, Kurt Hornik, and David Meyer. 2008. “Text Mining Infrastructure in R.” Journal of Statistical Software 25 (5). https://doi.org/10.18637/jss.v025.i05.
Garg, Nikhil, Londa Schiebinger, Dan Jurafsky, and James Zou. 2018. “Word Embeddings Quantify 100 Years of Gender and Ethnic Stereotypes.” Proceedings of the National Academy of Sciences 115 (16): E3635–44. https://doi.org/10.1073/pnas.1720347115.
Grimmer, Justin, Margaret Roberts, and Brandon Stewart. 2022. Text as Data: A New Framework for Machine Learning and the Social Sciences. Princeton: Princeton University Press.
Grün, Bettina, Kurt Hornik, David Blei, John Lafferty, Xuan-Hieu Phan, Makoto Matsumoto, Nishimura Takuji, and Shawn Cokus. 2020. “Topicmodels: Topic Models.”
Honnibal, Matthew, and Ines Montani. 2017. “spaCy 2: Natural Language Understanding with Bloom Embeddings, Convolutional Neural Networks and Incremental Parsing.”
Hvitfeldt, Emil. 2022. “Textrecipes: Extra ’Recipes’ for Text Processing.”
Hvitfeldt, Emil, and Julia Silge. 2022. Supervised Machine Learning for Text Analysis in R. First edition. Data Science Series. Boca Raton London New York: CRC Press, Taylor & Francis Group.
Kearney, Michael. 2019. “Rtweet: Collecting and Analyzing Twitter Data.” Journal of Open Source Software 4 (42): 1829. https://doi.org/10.21105/joss.01829.
Kozlowski, Austin C., Matt Taddy, and James A. Evans. 2019. “The Geometry of Culture: Analyzing the Meanings of Class Through Word Embeddings.” American Sociological Review 84 (5): 905–49. https://doi.org/10.1177/0003122419877135.
Kuhn, Max, and Hannah Frick. 2022. “Dials: Tools for Creating Tuning Parameter Values.”
Kuhn, Max, Davis Vaughan, and Emil Hvitfeldt. 2022. “Parsnip: A Common API to Modeling and Analysis Functions.”
Kuhn, Max, and Hadley Wickham. 2020. “Tidymodels: A Collection of Packages for Modeling and Machine Learning Using Tidyverse Principles.”
———. 2022. “Recipes: Preprocessing and Feature Engineering Steps for Modeling.”
Manning, Christopher D, Prabhakar Raghavan, and Hinrich Schütze. 2008. Introduction to Information Retrieval. New York: Cambridge University Press.
Mikolov, Tomas, Ilya Sutskever, Kai Chen, Greg Corrado, and Jeffrey Dean. 2013. “Distributed Representations of Words and Phrases and Their Compositionality.” arXiv:1310.4546 [Cs, Stat], October. https://arxiv.org/abs/1310.4546.
Monroe, Burt L., Michael P. Colaresi, and Kevin M. Quinn. 2008. “Fightin’ Words: Lexical Feature Selection and Evaluation for Identifying the Content of Political Conflict.” Political Analysis 16 (4): 372–403. https://doi.org/10.1093/pan/mpn018.
Ooms, Jeroen, Duncan Temple Lang, and Lloyd Hilaiel. 2020. “Jsonlite: A Simple and Robust JSON Parser and Generator for R.”
Roberts, Margaret E., Brandon M. Stewart, and Dustin Tingley. 2019. “Stm: An R Package for Structural Topic Models.” Journal of Statistical Software 91 (2). https://doi.org/10.18637/jss.v091.i02.
Robinson, David. 2020. “Broom: Convert Statistical Analysis Objects into Tidy Data Frames.”
Silge, Julia, and David Robinson. 2016. “Tidytext: Text Mining and Analysis Using Tidy Data Principles in R.” The Journal of Open Source Software 1 (3): 37. https://doi.org/10.21105/joss.00037.
———. 2017. Text Mining with R: A Tidy Approach. First edition. Beijing ; Boston: O’Reilly.
Stoltz, Dustin S., and Marshall A. Taylor. 2021. “Cultural Cartography with Word Embeddings.” Poetics, May. https://doi.org/10.1016/j.poetic.2021.101567.
Vaughan, Davis. 2022. “Workflows: Modeling Workflows.”
Wickham, Hadley. 2019. “Stringr: Simple, Consistent Wrappers for Common String Operations.”
———. 2020. “Httr: Tools for Working with URLs and HTTP.”
Wickham, Hadley, Mara Averick, Jennifer Bryan, Winston Chang, Lucy McGowan, Romain François, Garrett Grolemund, et al. 2019. “Welcome to the Tidyverse.” Journal of Open Source Software 4 (43): 1686. https://doi.org/10.21105/joss.01686.
Wickham, Hadley, Jennifer Bryan, Malcolm Barrett, and RStudio. 2021. “Usethis: Automate Package and Project Setup.”