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Text Mining with R: A Tidy Approach, by Julia Silge and David Robinson. Sebastopol, CA: O’Reilly Media, 2017. ISBN 978-1-491-98165-8. XI + 184 pages.

Published online by Cambridge University Press:  12 January 2021

Jianwei Yan Open the ORCID record for Jianwei Yan [Opens in a new window]
Jianwei Yan*
Affiliation:
Department of Linguistics, Zhejiang University, No. 866, Yuhangtang Road, Xihu District, Hangzhou310058, P. R. China Email: [email protected]
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Type
Book Review
Information
Natural Language Engineering , Volume 28 , Issue 1 , January 2022 , pp. 137 - 139
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Copyright
© The Author(s), 2021. Published by Cambridge University Press

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References

Adler, J. (2012). R in a Nutshell, 2nd Edn. Sebastopol, CA: O’Reilly Media.Google Scholar
Long, J.D. and Teetor, P. (2019). R Cookbook, 2nd Edn. Sebastopol, CA: O’Reilly Media.Google Scholar
R Core Team. (2020). R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing. Vienna, Austria. Available at https://www.R-project.org/ Google Scholar
Silge, J. and Robinson, D. (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 CrossRefGoogle Scholar
Wickham, H. and Grolemund, G. (2017). R for Data Science. Sebastopol, CA: O’Reilly Media.Google Scholar