References
Basic AI Programming
Preface
1
Setting Up Environment
2
Constants and Variables in Python
3
Control Structures in Python
4
Functions and Packages in Python
5
Data Analysis in Python
6
Basic Arithmetic Operations in Python
7
Regular Expressions (RegEx) in Python
8
Building a Custom Corpus
9
Text Preprocessing
10
Visualizing Word Frequencies with Graphs and Word Clouds
11
Text Representation Based on Counts
12
Word Embedding and Relational Similarity
13
Word Embedding Activities
14
Semantic Network Analysis
15
Semantic Network Analysis (Examples)
16
Topic Modeling in Python
17
Topic Modeling with R (Example)
18
Assignment #01
19
Assignment #02: Semantic Network Analysis
20
Assignment #03:Topic Modeling
References
References
Books
파이썬 텍스트 마이닝 완벽 가이드 (개정판)
https://wikibook.co.kr/textmining-rev/
딥 러닝을 이용한 자연어 처리 입문
https://wikidocs.net/book/2155
Websites
https://regexr.com/
20
Assignment #03:Topic Modeling