Web-Crawling-and-Text-mining-with-Python-in-Korean

• Lecture materials for SNU Big Data Academy
• All the materials are provided in Korean

Lecture notes and source codes for the lecture

• website: http://bdi.snu.ac.kr/?cat=54

Contents

<Part 0: Preliminaries>

1. Python preliminaries
2. Fundamentals of HTML & CSS

<Part 1: Web Crawling>

1. Web Crawling - 1: (lecture) Urllib & BeautifulSoup / (lab) Daum Dictionary Crawling
2. Web Crawling - 2: (lab) Daum Movie Crawling
3. Web Crawling - 3: (lecture) Splinter / (lab) Dictionary.com Crawling
4. Web Crawling - 4: (lab) Daum Movie Crawling (using Splinter)

<Part 2: Text Analysis>

1. Text Analysis - 1: (lecture) Fundamentals of Text Analysis / (lab) Text Data Processing (KoNlPy)
2. Text Analysis - 2: (lab) Text Data Processing (KoNlPy)
3. Text Analysis - 3: (lab) Text Data Exploration (Nltk)
4. Text Analysis - 4: (lab) Text Visualization (World Cloud & Network Graphs)
5. Text Analysis - 5: (lab) Sentiment Analysis with Korean Movie Reviews