SNS 빅 데이터를 이용한 산림치유의 인식 분석

• 영문명: The Analysis of Recognition and Present Condition of Forest Therapy Utilizing SNS Big Data
• 발행기관: 인간식물환경학회
• 저자명: 김윤희(Youn Hee Kim)
• 간행물 정보: 『인간식물환경학회지(JPPE)』제19권 제3호, 241~248쪽, 전체 8쪽
• 주제분류: 자연과학 > 자연과학일반
• 파일형태: PDF
• 발행일자: 2016.06.30

영문 초록

This study is exploring objective awareness of forest therapy by consideration of popular perception about forest therapy through analysis of big data. The purpose of this study is the deduction of meaning information through analysis in the viewpoint of big data at online social network service (SNA) about ‘forest therapy’. Accordingly, their main way of research became contents analysis of keyword linked to forest therapy. The study mainly grasped ‘forest therapy’ and analyzed ‘forest healing’, ‘forest bathing’, ‘forest interpreter’ comparatively. The period of study was from Sep. 8th to Oct. 8th, 2015 (during 30 days), and SNA such as blog or twitter became the subject of search. First, awareness of the forest therapy on SNS has been talked about a lot of properties (forest healing, phytoncide, stress, experience, health) or places (forest, seoul) psychology-related terms (various, stress). Second, public opinion on these terms could be found that there were plenty of positive public opinion than neutral. Third, the keywords related to the forest healing could be found that there were differences, depending on the subject to experience the program and ongoing environment. This study is significant in that the awareness among the general public about the forest healing were searched and it could provide an alternative for the activation of forest healing. We expect this study to be a starting point of research utilizing Big Data in the field of forest therapy and to be used as the basis for forest healing policy, program development, public relations and marketing by identifying and recognizing the characteristics of forest healing of SNS era.

목차

Abstract

Ⅰ. 서론

Ⅱ. 연구방법

Ⅲ. 연구결과 및 고찰

Ⅳ. 적요

Ⅴ. References

키워드

Forest healing Trends Social network service Data mining