> For the complete documentation index, see [llms.txt](https://lab-of-ontologies-language-proce.gitbook.io/ladsbook/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://lab-of-ontologies-language-proce.gitbook.io/ladsbook/fu-lu/references.md).

# 參考書目

Andrew Bruce and Peter Bruce. 2017. **Practical Statistics for Data Scientists.** Publisher: O'Reilly Media, Inc.

Tony OjedaRebecca Bilbro, Benjamin Bengfort and . 2018. **Applied Text Analysis with Python**. Publisher: O'Reilly Media, Inc.

Steven Struhl. 2015. *Practical Text Analytics*. Publisher: Kogan Page.

I. Feinerer. *An introduction to text mining in R*. R News, 8(2):19–22, Oct. 2008.\
<http://CRAN.R-project.org/doc/Rnews/>.

I. Feinerer, K. Hornik, and D. Meyer. Text mining infrastructure in R. Journal of Statistical Software, 25(5):1–54, March 2008. ISSN 1548-7660. <http://www.jstatsoft.org/v25/i05>.

J. Li. Rwordseg: Chinese word segmentation, 2012. <http://R-Forge.R-project.org/> projects/rweibo/.\
R package version 0.0-4/r37.

H. Ronggui. rmmseg4j: Chinese word segmentation based on mmseg4j, 2011. URL\
<http://R-Forge.R-project.org/projects/rqda/>. R package version 0.1-0/r389.

Dan Toomey. 2014. *R for Data Science*. Packt Publishing.

Charu C. Aggarwal and ChengXiang Zhai. 2012. **Mining Text Data**. Springer.

Dan Jurafsky and James H Martin. 2000. **Speech & Language Processing**. Pearson Education.

Ludovic Lebart, André Salem, Lisette Berry. 1998. **Exploring Textual Data**. Springer.

Sholom M. Weiss, et al. 2005. **Text Mining: Predictive Methods for Analyzing Unstructured Information**. Springer.

Sebastien Le and Thierry Worch. 2015. **Analyzing Sensory Data with R**. CRC Press.

Graham Wilcock. 2009. **Introduction to Linguistic Annotation and Text Analytics**. Morgan & Claypool.

Sheather 2009. A modern approach to regression with R. Springer.

R 的學習歷程：<https://yongfu.name/2018/01/31/RlearningPath.html>