Natural Language Processing in R with quanteda

Text data is everywhere, but turning raw prose into structured, actionable insights requires the right tools and techniques. This course introduces you to natural language processing using quanteda, one of the most powerful and efficient text analysis packages available. You will learn how to clean, tokenize, and analyze text collections to uncover hidden patterns and trends. By the end of this course, you will be able to confidently build text analysis pipelines and evaluate your NLP workflows using structured written exercises. You will learn how to: - Understand foundational NLP concepts and the core architecture of the quanteda package - Clean and preprocess raw text data by removing stopwords, punctuation, and applying stemming - Create and manipulate corpus objects and document-feature matrices (DFM) for analysis - Apply statistical text analysis techniques including term frequency and document similarity - Implement modern sentiment analysis and basic topic categorization workflows - Test your knowledge and reinforce your skills through comprehensive written review quizzes. This text-based course is designed for beginners who have a basic familiarity with R programming but are completely new to text analysis. No prior NLP experience is required. Start your journey into text mining and unlock the power of written data today.