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Data Science for Psychology: Natural Language
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Welcome
1
Introduction: Why Does Psychology Need Natural Language?
2
The Ethics of Data Science in Psychology
Data Visualization
3
Why Aesthetic Choices are Important
4
Don’t Distract From the Story
5
Visualizing Distributions of Words
6
Additional Resources for Data Visualization
Sources of Data
7
Experiments
8
Corpus Data
9
Web APIs
10
Web Scraping
Quantifying Psychological Properties of Text
11
Look at Your Data
12
Introduction to Quanteda
13
Tokenization
14
Dictionary-Based Word Counts
15
Open Vocabulary Word Counting
16
Transforming Word Counts
17
Introduction to Vector Space
18
Word Embeddings
19
Contextualization With Large Language Models
20
Navigating Vector Space
21
Topic Modeling
22
Measures of Linguistic Complexity
23
Just Ask an LLM
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Additional Resources
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Transcribing Audio
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Transcribing Audio
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