Riferimenti bibliografici

Benoit, Kenneth, e Akitaka Matsuo. 2023. spacyr: Wrapper to the spaCy ’NLP’ Library. https://spacyr.quanteda.io.

Benoit, Kenneth, David Muhr, e Kohei Watanabe. 2021. stopwords: Multilingual Stopword Lists. https://github.com/quanteda/stopwords.

Benoit, Kenneth, e Adam Obeng. 2024. readtext: Import and Handling for Plain and Formatted Text Files. https://github.com/quanteda/readtext.

Benoit, Kenneth, Kohei Watanabe, Haiyan Wang, Paul Nulty, Adam Obeng, Stefan Müller, Akitaka Matsuo, e William Lowe. 2023. quanteda: Quantitative Analysis of Textual Data. https://quanteda.io.

Beri, Marco. 2007. Espressioni regolari. Milano: Apogeo.

Blaheta, Don, e Mark Johnson. 2001. «Unsupervised Learning of Multi-Word Verbs». In Proceedings of the 39th Annual Meeting of the ACL, 54–60. Citeseer.

Bolasco, Sergio. 1999. «Analisi dei dati testuali». In Analisi multidimensionale dei dati. Metodi, strategie e criteri d’interpretazione, 179–248. Roma: Carocci.

———. 2013. L’analisi automatica dei testi: fare ricerca con il text mining. Roma: Carocci.

Bouchet-Valat, Milan. 2023. SnowballC: Snowball Stemmers Based on the C libstemmer UTF-8 Library. https://github.com/nalimilan/R.TeMiS.

Bryan, Jennifer. 2023. googlesheets4: Access Google Sheets using the Sheets API V4. https://googlesheets4.tidyverse.org.

Csardi, Gabor, e Tamas Nepusz. 2006. «The Igraph Software Package for Complex Network Research». InterJournal, Complex Systems 1695: 38.

Csárdi, Gábor, Tamás Nepusz, Vincent Traag, Szabolcs Horvát, Fabio Zanini, Daniel Noom, e Kirill Müller. 2024. igraph: Network Analysis and Visualization. https://r.igraph.org/.

Della Ratta - Rinaldi, Francesca. 2009. «L’analisi testuale computerizzata». In Ricerca sociale : tecniche speciali di rilevazione, trattamento e analisi, a cura di Leonardo Cannavò e Luigi Frudà, 133–52. Roma: Carocci.

Feinerer, Ingo, Kurt Hornik, e David Meyer. s.d. «Text Mining Infrastructure in R». Journal of Statistical Software 25 (i05). Consultato 2 febbraio 2013. http://ideas.repec.org/a/jss/jstsof/25i05.html.

Giuliano, Luca, e Gevisa La Rocca. 2010. L’analisi automatica e semi-automatica dei dati testuali II : strategie di ricerca e applicazioni. Milano: LED.

Helmut Schmid. 1994. «Probabilistic Part-of-Speech Tagging Using Decision Trees». In Proceedings of International Conference on New Methods in Language Processing. Manchester, UK. https://www.cis.uni-muenchen.de/~schmid/tools/TreeTagger/data/tree-tagger2.pdf.

Krippendorff, Klaus. 2004. Content Analysis: An Introduction to Its Methodology. 2nd ed. Thousand Oaks, Calif: Sage.

Lenci, Alessandro, Simonetta Montemagni, e Vito Pirrelli. 2016. Testo e computer. Elementi di linguistica computazionale. Roma: Carocci.

Michalke, Meik. 2021. koRpus: Text Analysis with Emphasis on POS Tagging, Readability, and Lexical Diversity. https://reaktanz.de/?c=hacking&s=koRpus.

Mullen, Lincoln. 2022. tokenizers: Fast, Consistent Tokenization of Natural Language Text. https://docs.ropensci.org/tokenizers/.

Ooms, Jeroen. 2023. hunspell: High-Performance Stemmer, Tokenizer, and Spell Checker. https://docs.ropensci.org/hunspell/ https://ropensci.r-universe.dev/hunspell.

Robinson, David, e Julia Silge. 2023. tidytext: Text Mining using dplyr, ggplot2, and Other Tidy Tools. https://github.com/juliasilge/tidytext.

Schmid, Helmut. 1999. «Improvements in Part-of-Speech Tagging with an Application to German». In Natural Language Processing Using Very Large Corpora, 13–25. Springer.

Silge, Julia, e David Robinson. 2016. «tidytext: Text Mining and Analysis Using Tidy Data Principles in R». JOSS 1 (3). https://doi.org/10.21105/joss.00037.

———. 2017. Text Mining with R: A Tidy Approach. Sebastopol, CA: O’Reilly Media.

Vardanega, Agnese. 2011–2021. «R per l’analisi dei dati.Una wiki per l’analisi dei dati con R». 2011–2021. https://www.agnesevardanega.eu/wiki/r/start.

Welbers, Kasper, Wouter Van Atteveldt, e Kenneth Benoit. 2017. «Text Analysis in R». Communication Methods and Measures 11 (4): 245–65. https://doi.org/gc7mdr.

Wickham, Hadley. 2023. tidyverse: Easily Install and Load the Tidyverse. https://tidyverse.tidyverse.org.

Wickham, Hadley, e Garrett Grolemund. 2016. R for Data Science: Import, Tidy, Transform, Visualize, and Model Data. Sebastopol, CA: O’Reilly Media.

Wijffels, Jan. 2023. udpipe: Tokenization, Parts of Speech Tagging, Lemmatization and Dependency Parsing with the UDPipe ’NLP’ Toolkit. https://bnosac.github.io/udpipe/en/index.html.