Exploring Korean adolescent stress on social media: A semantic network analysis

<strong>Korean Adolescent's Stress Semantic Network Analysis Project</strong> Semantic Network Analysis for Korean Adolescent's Stress Input data file data_news.csv : News data collected from Naver(https://www.naver.com) data_blog.csv : Blog data collected from Naver(https://www.naver.com) and Daum(https://www.daum.net) Output files Frequency Table of Each word in Documents (<em><strong>freq_news.csv</strong></em>, <em><strong>freq_blog.csv</strong></em>) TF-IDF(Term Frequency-Inverse Document Frequency) Table of Each word in Documents (<em><strong>tfidf_news.csv</strong></em>, <em><strong>tf_idf_blog.csv</strong></em>) Frequency Table of 30 keywords in Documents (<em><strong>freq_news_30.csv</strong></em>, <em><strong>freq_blog_30.csv</strong></em>) DTM(Document Term Matrix) of 30 keywords in Documents (<em><strong>DTM_news_30.csv</strong></em>, <em><strong>DTM_blog_30.csv</strong></em>) COM(Co-Occurrence Matrix) of 30 keywords in Documents (<em><strong>COM_news_30.csv</strong></em>, <em><strong>COM_blog_30.csv</strong></em>) Binary COM of 30 keywords in Documents (<em><strong>BinaryCOM_news_30.csv</strong></em>, <em><strong>BinaryCOM_blog_30.csv</strong></em>) Centrality Table of 30 keywords in Documents (<em><strong>centrality_news_30.csv</strong></em>, <em><strong>centrality_blog_30.csv</strong></em>)