01860cam a22003258i 4500 22083504 20260716150450.0 210605s2022 flu b 001 0 eng 9780367554187 9780367554194 PK-LaUMT 006.35 HVI-S Hvitfeldt, Emil 13725 Supervised machine learning for text analysis in R / Emil Hvitfeldt and Julia Silge Boca Raton : CRC Press, 2022 xix, 381 p. Data science series Includes bibliographical references and index. "Text data is important for many domains, from healthcare to marketing to the digital humanities, but specialized approaches are necessary to create features for machine learning from language. Supervised Machine Learning for Text Analysis in R explains how to preprocess text data for modeling, train models, and evaluate model performance using tools from the tidyverse and tidymodels ecosystem. Models like these can be used to make predictions for new observations, to understand what natural language features or characteristics contribute to differences in the output, and more. If you are already familiar with the basics of predictive modeling, use the comprehensive, detailed examples in this book to extend your skills to the domain of natural language processing"-- Provided by publisher Eng Computational linguistics Statistical methods. 13726 Natural language processing (Computer science) 5560 Supervised learning (Machine learning) 13727 Predictive analytics. 5545 Regression analysis. 5062 Discriminant analysis. 13728 R (Computer program language) Silge, Julia 13729 BK 125682 125682 0 0 0 0 01 01 2022-02-21 2 006.35 HVI-S 141973 2025-03-03 14:57:10 2025-02-12 2022-02-21 BK 0 0 0 0 01 01 2026-07-16 0 006.35 HVI-S 153369 2026-07-16 15:05:12 C.2 2026-07-16 BK