Get startedGet started for free

Evaluating a DTM as a matrix

Let's practice casting our tidy data into a DTM and evaluating the DTM by treating it as a matrix.

In this exercise, you will create a DTM again, but with a much smaller subset of the twitter data (tidy_twitter_subset).

This exercise is part of the course

Introduction to Text Analysis in R

View Course

Exercise instructions

  • Cast the word counts by tweet into a DTM and assign it to dtm_twitter.
  • Coerce dtm_twitter into a matrix called matrix_twitter.
  • Print rows 1 through 5 and columns 90 through 95.

Hands-on interactive exercise

Have a go at this exercise by completing this sample code.

# Assign the DTM to dtm_twitter
dtm_twitter <- tidy_twitter_subset %>% 
  count(word, tweet_id) %>% 
  # Cast the word counts by tweet into a DTM
  ___(___)

# Coerce dtm_twitter into a matrix called matrix_twitter
___ <- ___(___)

# Print rows 1 through 5 and columns 90 through 95
___
Edit and Run Code