Explore text analysis with R using tidy data principles. This site guides you through tidytext and related tools for hands-on text mining and sentiment analysis.
Learn text mining with R using tidy tools
Text Mining with R is a practical online guide designed to help you learn how to analyze text data using R and the tidy data framework. The site walks you through key concepts like sentiment analysis, word frequency, n-grams, and topic modeling, all with step-by-step examples that use the tidytext package and other tidyverse tools.
Whether you’re new to text mining or looking to apply tidy data principles to your analysis, you’ll find structured chapters, real-world case studies, and clear explanations to support your learning. You can easily browse the book’s contents, follow along with code examples, and dig deeper into each topic at your own pace.
This resource is ideal for students, researchers, or anyone interested in learning modern text analysis techniques in R. It’s approachable, well-organized, and connects you to further reading and the book’s source code for more hands-on exploration.
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