This lesson is still being designed and assembled (Pre-Alpha version)

Text mining with R: Glossary

Key Points

Introduction
  • First key point. Brief Answer to questions. (FIXME)

Episode 1 Loading data
  • Packages must be installed and loaded in, and dataset must be loaded in by typing commands

Episode 2 tidytext, stopwords, and sentiment analysis
  • All natural language texts must be prepared for analysis

Episode 3 word frequency analysis
  • Custom stopword list may be necessary depending on the context

Episode 4 text mining extras
  • Stemming can be useful for Natural Language Processing; Stopword lists are available for many languages

Glossary

FIXME