tidytext serves to bring text data into the “tidyverse”.
It’s text mining for word processing and sentiment analysis using ‘dplyr’, ‘ggplot2’, and other tidy tools.
It provides simple tools to manipulate unstructured text data in such a way that it can be analyzed with tools like dplyr and ggplot2.
The tidytext package structures text data upon the principle of tidy data. As well documented in a chapter of Hadley Wickham’s R for Data Science, three rules make a data set tidy:
- Each variable must have its own column.
- Each observation must have its own row.
- Each value must have its own cell.
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