1. Learn
    2. /
  2. Courses
    3. /
  3. Introduction to Natural Language Processing in R

Exercise

Data preparation

During the 2016 US election, Russian tweet bots were used to constantly distribute political rhetoric to both democrats and republicans. You have been given a dataset of such tweets called russian_tweets. You have decided to classify these tweets as either left- (democrat) or right-leaning(republican). Before you can build a classification model, you need to clean and prepare the text for modeling.

Instructions

100 XP
  • Finalize the tokenization process by stemming the tokens.
  • Use cast_dtm() to create a document-term matrix.
  • Weight the document-term matrix using tfidf weighting.
  • Print the matrix.