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