This program is developed using Python and KoNLPy as text mining library. KoNLPy is a Python package for natural language processing (NLP) of the Korean language.

1. Data Collection
   • Newspaper: Joongang Ilbo
   • Web Scrapping: Using Beautiful Soup
2. Data Preprocessing
   • Tokenization
3. Data Representation
   • Word2Vec
   • PCA Plot
4. Data Analysis

• Download and Install Python on your workstation
• Install BeautifulSoup library
• Install requests module using pip install request
• Install KoNLPy
• Install related libraries (matplotlib, gensim, nltk)

• joongang.py - web scrapping
• morph.py - morphing code, such as word2vec
• joongang.txt - result file from scrapping

Following is the result of the most similar word to 금융 or finance word in Korean

등
0.954851508140564
중앙
0.9336299300193787
것
0.9300297498703003
한국
0.9291011691093445
검사
0.9279869198799133
형사
0.9176149368286133
일본
0.9146363735198975
시장
0.9116146564483643
조치
0.9072641134262085
기업
0.8989660739898682

Originally I developed the program on Mac OS, but I have tried to run also on Windows OS. And work well by changing several line of code, especially the file location.