한국정보기술학회논문지 (The Journal of Korean Institute of Information Technology)

  • 제17권9호
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  • Pages.123-131
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  • 2019
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  • 1598-8619(pISSN)
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  • 2093-7571(eISSN)
한국정보기술학회 (Korean Institute of Information Technology)
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이미지와 해시태그를 이용한 인스타그램의 감정 분석 연구

A Study on the Emotion Analysis of Instagram Using Images and Hashtags

  • 정다혜 (군산대학교 소프트웨어융합공학과) ;
  • 김장원 (군산대학교 소프트웨어융합공학과)
  • 투고 : 2019.08.01
  • 심사 : 2019.09.09
  • 발행 : 2019.09.30
⟨ 이전 논문 다음 논문 ⟩

초록

최근 소셜 네트워크 서비스 사용자들은 게시글을 통해 사회적 이슈 및 관심 콘텐츠들에 대한 자신의 감정을 적극적으로 표현하고 공유한다. 그 결과 소셜 네트워크에서의 개인 및 특정 집단의 감정 공유는 빠르게 확산된다. 그러므로 사용자들의 게시글에 대한 감정 분석 연구가 활발히 진행되고 있다. 그렇지만 다양한 감정이 포함된 게시글에 대한 감정 분석 연구가 미흡하다. 따라서 본 논문에서는 해시태그와 이미지를 이용한 인스타그램 게시글의 대표 감정 분석 방법을 제안한다. 이를 통해 사용자 게시글에 포함된 다종의 리소스를 활용하여 다중의 감정으로부터 대표 감정을 추출할 수 있으며 66.4%의 정확도와 81.7%의 재현율로 기존 방법보다 감정 분류 성능 향상을 보인다.

Social network service users actively express and share their feelings about social issues and content of interest through postings. As a result, the sharing of emotions among individuals and community members in social network is spreading rapidly. Therefore, resulting in active research of emotion analysis on posting of users. However, There is insufficient research on emotion analysis for postings containing various emotions. In this paper, we propose a method that analyzes the emotions of an Instagram posts using hashtags and images. This method extracts representative emotion from user posts containing multiple emotions with 66.4% accuracy and 81.7% recall, which improves the emotion classification performance compared to the previous method.

키워드

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