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What you'll learn on this self-paced online course
Learn how to analyze large amounts of textual data by applying your R programming skills to an efficient, powerful and easy-to-use method - quantitative text analysis.
This course is perfect for social scientists who want to understand the theory and assumptions that underpin quantitative text analysis, whilst developing their R programming skills via practical examples of analysis with real texts.
Not familiar with R? Take our Introduction to R course first.
By the end of this course you will be able to:
Understand the theoretical basis for Quantitative Text Analysis
Survey methods for systematically extracting quantitative information from text for social scientific purposes
Identify texts and units of texts for analysis
Convert texts into matrices for quantitative analysis
Analyze these matrices in order to generate inferences using quantitative or statistical methods