Text Analysis for Statistics & Data Science
Lectures
24
LLMs History
Overview
Labs
1
Mosteller & Wallace
2
NLP Basics
3
Tokenizing with quanteda
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
Introduction to Vector Models and Word Embeddings
14
Geospacial Mapping: POP? SODA? or COKE?
15
Random Forest
Labs Sets
16
Lab Set 1
17
Lab Set 2
18
Lab Set 3
19
Lab Set 4
Report Templates
20
CBE 1
21
CBE 2
22
Final Project
Lectures
23
Linguistic Facts of Life
24
LLMs History
25
Collocations
Lectures
24
LLMs History
24
LLMs History
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24.0.0.1
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.
23
Linguistic Facts of Life
25
Collocations