21.7 Exploring the Corpus

We can (and should) inspect the documents. This will assure us that data has been loaded properly and as we expect.

viewDocs <- function(d, n) {d %>% extract2(n) %>% as.character() %>% writeLines()}
viewDocs(docs, 16)
## Hybrid weighted random forests for
## classifying very high-dimensional data
## Baoxun Xu1 , Joshua Zhexue Huang2 , Graham Williams2 and
## Yunming Ye1
## 1
## 
## Department of Computer Science, Harbin Institute of Technology Shenzhen Graduate
## School, Shenzhen 518055, China
## 2
## Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen
....


Your donation will support ongoing availability and give you access to the PDF version of this book. Desktop Survival Guides include Data Science, GNU/Linux, and MLHub. Books available on Amazon include Data Mining with Rattle and Essentials of Data Science. Popular open source software includes rattle, wajig, and mlhub. Hosted by Togaware, a pioneer of free and open source software since 1984. Copyright © 1995-2022 Graham.Williams@togaware.com Creative Commons Attribution-ShareAlike 4.0