Text Analysis for Statistics & Data Science
Lectures
23
LLMs History
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
26
Keyness
27
Factor analysis and MDA
28
Cluster Analysis
29
Time Series
Lectures
23
LLMs History
23
LLMs History
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23.0.0.1
There is a lot of information here. Some of this we’ll just touch, but make sure you read the key takeways at the end of the presentation.
22
Linguistic Facts of Life
24
Word Frequencies & Dispersions