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A Study on the Emotion Analysis of Online Journals of People on Diet
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다이어트 중인 사람들의 온라인 일지 기반 감정 분석 연구

논문 기본 정보

Type
Proceeding
Author
Ji-Hyeon Kim (이화여자대학교) Uran Oh (이화여자대학교)
Journal
The HCI Society of Korea 한국HCI학회 학술대회 PROCEEDINGS OF HCI KOREA 2019 학술대회 발표 논문집
Published
2019.2
Pages
173 - 177 (5page)

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A Study on the Emotion Analysis of Online Journals of People on Diet
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많은 사람들이 건강 개선, 미용 등 다양한 목적으로 체중 조절을 진행하고 있다. 하지만 이들 중 상당수가 체중 조절로 인해 스트레스를 받고 있으며, 이러한 부정적인 감정은 체중 조절을 방해하는 주 원인이 될 수 있다. 하지만 기존에 운영되고 있는 다이어트 커뮤니티나 어플리케이션에서는 감정 상태에 대한 모니터링 없이 단순히 식단 관리, 운동 관리에 대한 기록만 수집/제공되고 있다. 따라서, 본 논문에서는 RNN 기반의 감정 분석 오픈소스 알고리즘과 ‘Monkey Learn’을 이용하여 온라인 다이어트에서 체중조절을 진행중인 총 20 명의 공개 사용자들의 일지들을 토대로 이들의 감정을 파악하고, 감정간, 다이어트 성과 간의 상관관계를 분석하였다. 본 연구의 결과로, 예상과는 달리 다이어트를 진행하는 사람들은 주로 긍정적인 감정을 가지는 것을 확인하였으며, 각 감정 간의 상관관계를 밝혔다. 또한, 체중 변화와 감정 사이에는 연관이 없음을 밝혔다. 이를 바탕으로 보다 효과적인 체중 조절을 위해 감정 분석이 어떻게 활용될 수 있을 지에 대한 구체적인 가이드라인을 제시한다.
#자연어 처리 #감정 분석 #인지과학 #체중조절

Contents

요약문
1. 서론
2. 관련 연구
3. 분석 방법
4. 분석 결과
5, 논의 및 결론
참고문헌

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