Text Mining with R by Julia Silge and David Robinson

Text Mining with R is a free, open-source online book and educational resource that teaches text analysis and natural language processing using the R programming language. Written by Julia Silge and David Robinson, it introduces the tidytext package, a framework for converting unstructured text data into tidy, analyzable datasets. The guide covers fundamental text mining concepts including tokenization, sentiment analysis, word frequency analysis, and topic modeling, all within the philosophy of tidy data principles that make analysis reproducible and efficient. The resource combines theoretical explanations with practical code examples, making it suitable for data scientists, researchers, and analysts who want to process and analyse text data programmatically. Whether analysing customer feedback, social media content, or research documents, this guide provides both foundational knowledge and hands-on techniques for extracting insights from textual information.