Introduction


  • Know what text mining is
  • Know what stop words are
  • Knowledge of the data we are working with
  • Know what tidy text means

Loading data


  • Packages must be installed and loaded
  • The dataset needs to be loaded
  • The dataset can be inspected by means of different functions

Tokenisation and stopwords


  • Know how to prepare text for analysis

Word frequency analysis


  • Making a frequency analysis
  • Visualising the results

Sentiment analysis


  • There are different lexicons
  • It is possible to add sentiments to words
  • It is possible to visualise the sentiments