Lim Jong-seop: Automatic extraction and interpretation model of news frames and agendas

The book, which has been written in 12 different sets of languages, has been using various text mining techniques provided by R, to give the actual case a code of theories and analysis. First, it clearly presented the concept of news at a theoretical level and explained the validity of extracting frames and chairs from large-scale news texts. The approach has already been wounded in the academic world as a ‘Communizational Communication Science’ and has been a vigorous study from outside the country rather than from within the country. This book will help interested researchers with concepts and procedures about R. In particular, the text mining process described by this author and the web scraping technique that collects articles in digital space can be useful for analyzing large-scale news texts. This book clearly points out the importance of the rise of words in text mining and explains the densely detailed process of extracting news frames with network and collective analysis. This process can help researchers and Dr. Mastrich graduate students to adapt to the actual situation.

Korean title: 뉴스 프레임과 의제의 자동 추출과 해석 모형

Korean author: 임종섭

Korean publisher: 서강대학교출판부

ISBN-13: 9788972733645