Text Analysis for Statistics & Data Science
Lectures
31
Sentiment Analysis
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
31
Sentiment Analysis
31
Sentiment Analysis
View slides in full screen
30
Time Series
32
Embeddings