Supervised machine learning for text analysis in R

Author(s)

• Hvitfeldt, Emil
• Silge, Julia

Bibliographic Information

Supervised machine learning for text analysis in R

Emil Hvitfeldt, Julia Silge

（Chapman & Hall/CRC data science series）（A Chapman & Hall book）

CRC Press, Taylor & Francis Group, A Chapman & Hall Book, 2022

• : pbk

Note

Includes bibliographical references (p. 369-378) and index

Details

• NCID: BD01147586
• ISBN:
  • 9780367554194
• Country Code: us
• Title Language Code: eng
• Text Language Code: eng
• Place of Publication: Boca Raton
• Pages/Volumes: xix, 381 p.
• Size: 24 cm
• Classification:
  • LCC : P98.5.S83
  • DC23 : 006.3/5
• Subject Headings:
  • LCSH : Computational linguistics -- Statistical methods
  • LCSH : Natural language processing (Computer science)
  • LCSH : Supervised learning (Machine learning)
  • LCSH : Predictive analytics
  • LCSH : Regression analysis
  • LCSH : Discriminant analysis
  • LCSH : R (Computer program language)
• Parent Bibliography ID:
  • BB2865775X
  • BB04603869