Cantitate/Preț
Produs

Data Analytics for Discourse Analysis with Python: The Case of Therapy Talk: Routledge Studies in Linguistics

Autor Dennis Tay
en Limba Engleză Hardback – 19 apr 2024
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.
Citește tot Restrânge

Din seria Routledge Studies in Linguistics

Preț: 84311 lei

Preț vechi: 110220 lei
-24% Nou

Puncte Express: 1265

Preț estimativ în valută:
16134 16669$ 13421£

Carte tipărită la comandă

Livrare economică 19 martie-02 aprilie

Preluare comenzi: 021 569.72.76

Specificații

ISBN-13: 9781032419015
ISBN-10: 1032419016
Pagini: 190
Ilustrații: 52
Dimensiuni: 152 x 229 mm
Greutate: 0.4 kg
Ediția:1
Editura: Taylor & Francis
Colecția Routledge
Seria Routledge Studies in Linguistics

Locul publicării:Oxford, United Kingdom

Public țintă

Postgraduate

Cuprins

Introduction
Defining data analytics
Data analytics for discourse analysis
The case of psychotherapy talk
Outline of the book
Quantifying language and implementing data analytics
Quantification of language: word embedding
Quantification of language: LIWC scores
Introduction to Python and basic operations
 
Chapter 2 Monte Carlo simulations
Introduction to MCS: bombs, birthdays, and casinos
The birthday problem
Spinning the casino roulette
Case study: Simulating missing or incomplete transcripts
                        Step 1: Data and LIWC scoring
                        Step 2: Simulation runs with a train-test approach
                        Step 3: Analysis and validation of aggregated outcomes
Python code used in this chapter
 
Chapter 3 Cluster analysis
Introduction to cluster analysis: creating groups for objects
                        Agglomerative hierarchical clustering (AHC)
                        k-means clustering
Case study: Measuring linguistic (a)synchrony between therapists and clients
                        Step 1: Data and LIWC scoring
                        Step 2: k-means clustering and model validation
                        Step 3: Qualitative analysis in context
Python code used in this chapter
 
Chapter 4 Classification
Introduction to classification: predicting groups from objects
Case study: Predicting therapy types from therapist-client language            
                        Step 1: Data and LIWC scoring
                        Step 2: k-NN and model validation
Python code used in this chapter
 
Chapter 5 Time series analysis
Introduction to time series analysis: squeezing juice from sugarcane
Structure and components of time series data
Time series models as structural signatures
Case study: Modeling and forecasting psychotherapy language across sessions      
                        Step 1: Inspect series
                        Step 2: Compute (P)ACF
                        Step 3: Identify candidate models
                        Step 4: Fit model and estimate parameters
                        Step 5: Evaluate predictive accuracy, model fit, and residual diagnostics
                        Step 6: Interpret models in context
Python code used in this chapter
 
Conclusion
Data analytics as a rifle and a spade
Applications in other discourse contexts
Combining data analytic techniques in a project
Final words: invigorate, collaborate, and empower

Notă biografică

Dennis Tay is Professor at the Department of English and Communication, the Hong Kong Polytechnic University. He is Co-Editor-in-Chief of Metaphor and the Social World, Associate Editor of Metaphor and Symbol, Academic Editor of PLOS One, and Review Editor of Cognitive Linguistic Studies. His recent Routledge publication is Time Series Analysis of Discourse: Method and Case Studies (2020).

Descriere

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