参考文献

Abelson, Hal. 2008. “Foreword.” In Essentials of Programming Languages, 3rd Edition, 3rd ed. The MIT Press.

Arnold, Taylor B. 2020. cleanNLP: A Tidy Data Model for Natural Language Processing. https://statsmaths.github.io/cleanNLP/.

Arnold, Taylor, and Lauren Tilton. 2016. coreNLP: Wrappers Around Stanford CoreNLP Tools. https://CRAN.R-project.org/package=coreNLP.

Benoit, Kenneth, Kohei Watanabe, Haiyan Wang, Paul Nulty, Adam Obeng, Stefan Müller, Akitaka Matsuo, Jiong Wei Lua, Jouni Kuha, and William Lowe. 2020. Quanteda: Quantitative Analysis of Textual Data. https://quanteda.io.

Feinerer, Ingo, Kurt Hornik, and David Meyer. 2008. “Text Mining Infrastructure in r.” Journal of Statistical Software 25 (5): 1–54. http://www.jstatsoft.org/v25/i05/.

Fellows, Ian. 2018. Wordcloud: Word Clouds. https://CRAN.R-project.org/package=wordcloud.

Grün, Bettina, and Kurt Hornik. 2021. Topicmodels: Topic Models. https://CRAN.R-project.org/package=topicmodels.

Henry, Lionel, and Hadley Wickham. 2020. Purrr: Functional Programming Tools. https://CRAN.R-project.org/package=purrr.

Lang, Dawei, and Guan-tin Chien. 2018. Wordcloud2: Create Word Cloud by Htmlwidget. https://github.com/lchiffon/wordcloud2.

Li, Song. 2021. Mqxsr: Some Chinese Novels Around Ming and Qing. https://github.com/boltomli/mingqingxiaoshuor.

Loughran, Tim, and Bill McDonald. 2011. “When Is a Liability Not a Liability? Textual Analysis, Dictionaries, and 10-Ks.” The Journal of Finance 66 (1): 35–65. https://doi.org/10.1111/j.1540-6261.2010.01625.x.

Mimno, David. 2013. Mallet: A Wrapper Around the Java Machine Learning Tool MALLET. https://CRAN.R-project.org/package=mallet.

Mullen, Lincoln. 2018. Tokenizers: Fast, Consistent Tokenization of Natural Language Text. https://lincolnmullen.com/software/tokenizers/.

Pedersen, Thomas Lin. 2021. Ggraph: An Implementation of Grammar of Graphics for Graphs and Networks. https://CRAN.R-project.org/package=ggraph.

Qiu, Yixuan, and authors/contributors of the included software. See file AUTHORS for details. 2021. Showtext: Using Fonts More Easily in r Graphs. https://github.com/yixuan/showtext.

Rinker, Tyler. 2019. Sentimentr: Calculate Text Polarity Sentiment. http://github.com/trinker/sentimentr.

Robinson, David. 2020a. Gutenbergr: Download and Process Public Domain Works from Project Gutenberg. https://CRAN.R-project.org/package=gutenbergr.

———. 2020b. Widyr: Widen, Process, Then Re-Tidy Data. http://github.com/dgrtwo/widyr.

Robinson, David, Alex Hayes, and Simon Couch. 2021. Broom: Convert Statistical Objects into Tidy Tibbles. https://CRAN.R-project.org/package=broom.

Robinson, David, and Julia Silge. 2021. Tidytext: Text Mining Using Dplyr, Ggplot2, and Other Tidy Tools. https://github.com/juliasilge/tidytext.

Silge, Julia. 2017. Janeaustenr: Jane Austen’s Complete Novels. https://github.com/juliasilge/janeaustenr.

Wenfeng, Qin, and Wu Yanyi. 2019. jiebaR: Chinese Text Segmentation. https://github.com/qinwf/jiebaR/.

Wickham, Hadley. 2014. “Tidy Data.” Journal of Statistical Software 59 (1): 1–23. https://doi.org/10.18637/jss.v059.i10.

———. 2020. Reshape2: Flexibly Reshape Data: A Reboot of the Reshape Package. https://github.com/hadley/reshape.

———. 2021. Tidyr: Tidy Messy Data. https://CRAN.R-project.org/package=tidyr.

Wickham, Hadley, Winston Chang, Lionel Henry, Thomas Lin Pedersen, Kohske Takahashi, Claus Wilke, Kara Woo, Hiroaki Yutani, and Dewey Dunnington. 2020. Ggplot2: Create Elegant Data Visualisations Using the Grammar of Graphics. https://CRAN.R-project.org/package=ggplot2.

Wickham, Hadley, Romain Fran?ois, Lionel Henry, and Kirill Müller. 2021. Dplyr: A Grammar of Data Manipulation. https://CRAN.R-project.org/package=dplyr.