Supervised Machine Learning for Text Analysis in R

  • Format
  • Bog, hardback
  • Engelsk

Beskrivelse

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.

This book provides practical guidance and directly applicable knowledge for data scientists and analysts who want to integrate unstructured text data into their modeling pipelines. Learn how to use text data for both regression and classification tasks, and how to apply more straightforward algorithms like regularized regression or support vector machines as well as deep learning approaches. Natural language must be dramatically transformed to be ready for computation, so we explore typical text preprocessing and feature engineering steps like tokenization and word embeddings from the ground up. These steps influence model results in ways we can measure, both in terms of model metrics and other tangible consequences such as how fair or appropriate model results are.

Læs hele beskrivelsen
Detaljer
  • SprogEngelsk
  • Sidetal402
  • Udgivelsesdato04-11-2021
  • ISBN139780367554187
  • Forlag Chapman & Hall/CRC
  • FormatHardback
Størrelse og vægt
  • Vægt900 g
  • coffee cup img
    10 cm
    book img
    15,6 cm
    23,4 cm

    Findes i disse kategorier...

    Se andre, der handler om...

    Velkommen til Saxo – din danske boghandel

    Hos os kan du handle som gæst, Saxo-bruger eller Saxo-medlem – du bestemmer selv. Skulle du få brug for hjælp, sidder vores kundeservice-team klar ved både telefonerne og tasterne.

    Om medlemspriser hos Saxo

    For at købe bøger til medlemspris skal du være medlem af Saxo Premium, Saxo Shopping eller Saxo Ung. De første 7 dage er gratis for nye medlemmer. Medlemskabet fornyes automatisk og kan altid opsiges. Læs mere om fordelene ved vores forskellige medlemskaber her.

    Machine Name: SAXO081