Introduction to Text Classification in R with quanteda

About this guided project

In this guided project you will learn how to import textual data stored in raw text files into R, turn these files into a corpus (a collection of textual documents), reshape them into paragraphs from documents and tokenize the text all using the R software package quanteda. You will then learn how to classify the texts using the Naive Bayes algorithm. This guided project is for beginners interested in quantitative text analysis in R. It assumes no knowledge of textual analysis and focuses on exploring textual data (US Presidential Concession Speeches). Users should have a basic understanding of the statistical programming language R.

What skills will you gain?

Natural Language Processing

R Programming

Data Analysis

Unstructured Data

Text Mining

Data Mining

Statistical Programming

Artificial Intelligence and Machine Learning (AI/ML)