Text Analysis for Statistics & Data Science
Overview
Overview
Labs
1
Mosteller & Wallace
2
NLP Basics
3
Processing pipelines
4
Distributions
5
Collocations & Association Measures
6
Keyness
7
Part-of-Speech Tagging and Dependency Parsing
8
Logistic Regression
9
Multi-Dimensional Analysis
10
Cluster Analysis
11
Time Series
12
Texts, Algorithms, and Black-Boxes
13
Geospacial Mapping: POP? SODA? or COKE?
14
Random Forest
Labs Sets
15
Lab Set 1
16
Lab Set 2
17
Lab Set 3
18
Lab Set 4
Report Templates
19
CBE 1
20
CBE 2
21
Final Project
Lectures
22
Linguistic Facts of Life
23
LLMs History
24
Word Frequencies & Dispersions
25
Collocations
Table of contents
Overview
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Text Analysis for Statistics & Data Science
Author
Alex Reinhart and David Brown
Overview
Quarto
is required to process all the assignments in this course. Download and install for your operating system.
No other LaTeX installation is needed
.
1
Mosteller & Wallace