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.
แบบฝึกหัดนี้เป็นส่วนหนึ่งของหลักสูตร
Analyzing Social Media Data in R
แบบฝึกหัดเชิงโต้ตอบแบบลงมือทำ
ลองทำแบบฝึกหัดนี้โดยเติมโค้ดตัวอย่างนี้ให้สมบูรณ์
# Remove English stop words from the corpus and view the corpus
twt_corpus_stpwd <- ___(twt_corpus_lwr, ___, stopwords("___"))
head(twt_corpus_stpwd$content)