Text Mining with R: Unlocking Meaning in Unstructured Data (Paperback) (ISBN-13: 9786209586415)

In the age of information overload, text is everywhere-from tweets and product reviews to scientific publications and policy documents. Text Mining with R is a comprehensive, modern, and hands-on guide for exploring, analyzing, and modeling unstructured textual data using the R programming language. Written in clear, narrative-driven prose, this book demystifies the process of extracting meaning from text through a blend of theory, implementation, and practical case studies.Built on the foundations of the tidyverse, this book introduces readers to the power of the tidytext, textrecipes, quanteda, text2vec, and stm packages, as well as supervised learning techniques using tidymodels. From simple sentiment analysis to topic modeling, word embeddings, and building multilingual NLP pipelines, the book guides both beginners and advanced users through essential concepts in natural language processing (NLP).

Author: Olaoluwa S. Yaya,Muminu O. Adepoju,Mary M. Adepoju
ISBN-10: 6209586414
ISBN-13: 9786209586415
Publisher: LAP Lambert Academic Publishing
Language: English
Published: 02/16/2026
Pages: 224
Format: Paperback
Weight: 0.67lbs
Size: 9.00h x 6.00w x 0.51d