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· 분류 : 외국도서 > 언어학 > 일반
· ISBN : 9781032419015
· 쪽수 : 190쪽
· 출판일 : 2024-04-19
목차
Contents
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List of Figures
List of Tables
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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
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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
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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
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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
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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
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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
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Index
