Text Analysis for Statistics & Data Science
Lectures
31
Time Series
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
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
23
Final Project Rubric
Lectures
24
Linguistic Facts of Life
25
LLMs History
26
Word Frequencies & Dispersions
27
Collocations
28
Keyness
29
Factor analysis and MDA
30
Cluster Analysis
31
Time Series
32
Sentiment Analysis
33
Embeddings
Lectures
31
Time Series
31
Time Series
View slides in full screen
30
Cluster Analysis
32
Sentiment Analysis