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Course Details

Course Outline
Learning Outcomes
Materials
Prior Knowledge

Course Outline

Appreciating the benefits of text data
Cleaning and extracting text with {stringr} and regular expressions
Transforming and mining text with {tidytext}
Analysing the sentiment of text
Understanding the content of a text with TF-IDF

Learning Outcomes

By the end of the course, participants will be able to…

clean, manipulate, and transform text data with {stringr}
use basic regular expressions to extract and remove patterns in text
convert unstructured text data into a tidy format suitable for analysis with {tidytext}
understand basic text mining concepts, such as tokenization, stop words, n-grams, lemmatization and more
create beautiful plots of text data
analyse the sentiment of a piece of text and compare sentiment across texts and over time
extract representative words of a text to classify its content

Materials

Prior Knowledge

This course assumes basic familiarity with R and the {tidyverse}. We recommend first attending our Introduction to R and our Data Wrangling in the Tidyverse courses if you want to get up to speed for this course!

Training Course Details

Text Mining in R

Course Level: Intermediate