블로그 게시물에서 감정분석을 통한 폰트 추천 서비스의 개발
Font Recommendation Service through Sentiment Analysis on Blog Post
  • 임순범
  • 박세연
  • 전은결
  • 정다은
  • 박재홍
  • 외 1명
Citations

WEB OF SCIENCE

0
Citations

SCOPUS

0

초록

Digital content is rapidly expanding across various platforms, and font selection plays a crucial role in design and readability, especially in text-based content. However, many blog platforms, despite their increasing usage, often overlook the importance of font selection, relying on default fonts. This study addresses this issue by proposing a system that analyzes the context of blog posts and recommends fonts that suit that context. By doing so, it enhances the mood and emotional expression of the content, ultimately improving the user experience of the blog platform. Users have responded positively to this system, recognizing its potential to effectively convey emotions and enhance interaction with readers. In summary, this research emphasizes the significance of font selection in blog posts and offers a solution to enhance the user experience by recommending context-appropriate fonts, allowing bloggers to express themselves more effectively and strengthen their connection with their audience.

키워드

Font Recommendation SystemEmotional ContextFont AnalysisBlog Post MoodEmotion Analysis
제목
블로그 게시물에서 감정분석을 통한 폰트 추천 서비스의 개발
제목 (타언어)
Font Recommendation Service through Sentiment Analysis on Blog Post
저자
임순범박세연전은결정다은박재홍송유정
DOI
10.9717/kmms.2023.26.12.1575
발행일
2023-12
저널명
멀티미디어학회논문지
26
12
페이지
1575 ~ 1582