Data Analytics for Discourse Analysis with Python
eBook - ePub

Data Analytics for Discourse Analysis with Python

The Case of Therapy Talk

  1. 190 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Data Analytics for Discourse Analysis with Python

The Case of Therapy Talk

About this book

This concise volume, using examples of psychotherapy talk, showcases the potential applications of data analytics for advancing discourse research and other related disciplines.

The book provides a brief primer on data analytics, defined as the science of analyzing raw data to reveal new insights and support decision making. Currently underutilized in discourse research, Tay draws on the case of psychotherapy talk, in which clients' concerns are worked through via verbal interaction with therapists, to demonstrate how data analytics can address both practical and theoretical concerns. Each chapter follows a consistent structure, offering a streamlined walkthrough of a key technique, an example case study, and annotated Python code. The volume shows how techniques such as simulations, classification, clustering, and time series analysis can address such issues as incomplete data transcripts, therapist–client (a)synchrony, and client prognosis, offering inspiration for research, training, and practitioner self-reflection in psychotherapy and other discourse contexts.

This volume is a valuable resource for discourse and linguistics researchers, particularly for those interested in complementary approaches to qualitative methods, as well as active practitioners.

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Yes, you can access Data Analytics for Discourse Analysis with Python by Dennis Tay in PDF and/or ePUB format, as well as other popular books in Languages & Linguistics & Linguistics. We have over one million books available in our catalogue for you to explore.

Information

Table of contents

  1. Cover
  2. Half-Title
  3. Series
  4. Title
  5. Copyright
  6. Contents
  7. List of Figures
  8. List of Tables
  9. 1 Introduction
  10. 2 Monte Carlo simulations
  11. 3 Cluster analysis
  12. 4 Classification
  13. 5 Time series analysis
  14. 6 Conclusion
  15. Index