1. Learn
    2. /
  2. Courses
    3. /
  3. Analyzing Social Media Data in R

Exercise

Remove stop words and additional spaces

A corpus of text usually contains many common words like "a", "an", "the", "of", and "but". In natural language processing, these are called stop words.

Stop words are usually removed during text processing so one can focus on more important words in the corpus to derive insights.

Also, the additional spaces created during the removal of special characters, punctuation, numbers, and stop words need to be removed from the corpus.

The corpus that you created in the last exercise has been pre-loaded as twt_corpus_lwr.

The library tm has been pre-loaded for this exercise.

Instructions 1/2

undefined XP
    1
    2
  • Remove English stop words from the corpus twt_corpus_lwr using the tm_map() function.