TY  - BOOK
AU  - Silge,Julia
AU  - Robinson,David
TI  - Text mining with R : a tidy approach
SN  - 9781491981627
U1  - 006.35 
PY  - 2017///
CY  - Mumbai
PB  - Shroff Publishers
KW  - R (Computer program language)
KW  - Data mining
N1  - Originally published in Sebastopol, CA. by O'Reilly Media,
N2  - Much of the data available today is unstructured and text-heavy, making it challenging for analysts to apply their usual data wrangling and visualization tools. With this practical book, you’ll explore text-mining techniques with tidytext, a package that authors Julia Silge and David Robinson developed using the tidy principles behind R packages like ggraph and dplyr. You’ll learn how tidytext and other tidy tools in R can make text analysis easier and more effective. The authors demonstrate how treating text as data frames enables you to manipulate, summarize, and visualize characteristics of text. You’ll also learn how to integrate natural language processing (NLP) into effective workflows. Practical code examples and data explorations will help you generate real insights from literature, news, and social media
ER  -