TY - JOUR
T1 - Supervised machine learning for text analysis in R: Hvitfeldt, Emil and Silge, Julia, 2021, 1st, CRC Press, 402 pages, ISBN: 1000461971, 9781000461978
AU - Todd, James
PY - 2022/6/5
Y1 - 2022/6/5
N2 - The authors divide the book into natural language features, machine learning with text and deep learning with text. Overall, this book provides an excellent and practical guide for incorporating textual data into the workflow of supervised learning problems. From a technical perspective, it is rigorous in its detailing of key steps in the processing and preparation of text, including potential pitfalls and biases that can be introduced into analyses by the unwary.
AB - The authors divide the book into natural language features, machine learning with text and deep learning with text. Overall, this book provides an excellent and practical guide for incorporating textual data into the workflow of supervised learning problems. From a technical perspective, it is rigorous in its detailing of key steps in the processing and preparation of text, including potential pitfalls and biases that can be introduced into analyses by the unwary.
U2 - 10.1111/rssa.12878
DO - 10.1111/rssa.12878
M3 - Book/Film/Article review
SN - 0964-1998
SP - 1
EP - 1
JO - Journal of the Royal Statistical Society. Series A: Statistics in Society
JF - Journal of the Royal Statistical Society. Series A: Statistics in Society
ER -