Exercise

Creating a tibble from a corpus

To further explore the corpus on crude oil data that you received from a coworker, you have decided to create a pipeline to clean the text contained in the documents. Instead of exploring how to do this with the tm package, you have decided to transform the corpus into a tibble so you can use the functions unnest_tokens(), count(), and anti_join() that you are already familiar with. The corpus crude contains both the metadata and the text of each document.

Instructions

100 XP

Convert the corpus into a tibble and print out the column names.
Tokenize (by word), count, and remove stop words from the text column of crude_tibble.
Assign the most frequent word from crude_counts to top_word.

Take Hint (-30 XP)