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