Supervised machine learning for text analysis in R
First Statement of Responsibility
Emil Hvitfeldt, Julia Sigle.
.PUBLICATION, DISTRIBUTION, ETC
Place of Publication, Distribution, etc.
Boca Raton
Name of Publisher, Distributor, etc.
CRC Press, Taylor & Francis Group
Date of Publication, Distribution, etc.
2022.
PHYSICAL DESCRIPTION
Specific Material Designation and Extent of Item
xix, 381 p.
SERIES
Series Title
(Data science series)
GENERAL NOTES
Text of Note
"A Chapman & Hall book."
INTERNAL BIBLIOGRAPHIES/INDEXES NOTE
Text of Note
Includes bibliographical references and index.
SUMMARY OR ABSTRACT
Text of Note
"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"--
TOPICAL NAME USED AS SUBJECT
Entry Element
Computational linguistics
Entry Element
Natural language processing (Computer science)
Entry Element
Supervised learning (Machine learning)
Entry Element
Predictive analytics.
Entry Element
Regression analysis.
Entry Element
Discriminant analysis.
Entry Element
R (Computer program language)
Topical Subdivision
Statistical methods.
DEWEY DECIMAL CLASSIFICATION
Edition
23
LIBRARY OF CONGRESS CLASSIFICATION
Class number
P98
.
5
Book number
.
S83
2022
PERSONAL NAME - PRIMARY RESPONSIBILITY
Entry Element
Hvitfeldt, Emil,
PERSONAL NAME - ALTERNATIVE RESPONSIBILITY
Sigle, Julia,
ORIGINATING SOURCE
Country
ایران
Agency
University of Tehran. Library of College of Science