빅 데이터 텍스트 마이닝

• 영문명: Big Data Text Mining: Focusing on Tourism Development based on the Theory of Moral Sentiments
• 발행기관: 한국관광학회
• 저자명: 노형남
• 간행물 정보: 『관광학연구』제38권 제9호, 123~145쪽, 전체 23쪽
• 주제분류: 사회과학 > 관광학
• 파일형태: PDF
• 발행일자: 2014.11.30

영문 초록

This study focuses on tourism development based on the theory of moral sentiments, performing qualitative analysis on exogenous problems of Galton’s problem concerning increase in national wealth because of macro-interaction effects of the independent variables among extrinsic or selection factors, that would be proved by exhaustive research on the basis of assuming that the transformation into political issue as an instrumental variable undergoing a process of tourism development to increase national wealth setting up negentropy as eternal peace by virtue of unleadership, namely warm-hearted leadship. For the purpose of analyzing in social research this study limits the category within Cuba to deal with interaction effects of the independent variables i.e. individuals formulated spontaneously in the interaction of social average of the increase in national wealth recycled convergently according to the association path of the people, from which this study grasps an important concept of the plausibility of the instrumental variable to analyze significantly secure cases of the tourism development based on the theory of moral sentiments.

목차

I. 서론

II. 이론적 배경

III. 관광개발 전략

IV. 빅 데이터 텍스트 마이닝

V. 결론

참고문헌

키워드

빅 데이터 텍스트 마이닝 관광개발 리드십 도덕감정 Big data text mining Tourism development Leadship Moral sentiments