The Two Dimensional Model of Social Emotion Based on Social Life Logging

Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 474)

Abstract

Social emotion is interactive emotion in human relation. SNS (Social Network Service) has been active domain in expressing emotion developing social emotional connection. However, social emotion has less been determined to be related to emotion expression. Therefore, this study is to determine the dimensional representatives of social emotion by analyzing cementics of emotional words in SNS domain. 24 SNS has been selected for analysis in this study. 1,153 emotional adjectives was extracted and their frequencies of usages were evaluated. They were reduced to 85. 56 emotional adjectives were finally determined by test of goodness-of-fit. Representative words were defined by cicular ordering task and category sort task and their coordinates were determined in 2 dimensional domain of emotional words. 56 emotional adjectives were mapping into the 2 dimensional coordinates from location of representative words. The orthogonal dimensions, as the results, was work centric and leisure centric. The others were relationship centric and isolation centric. The social emotion in SNS has been characterized from activities of both work and relationship.

Keywords

Social life logging Social emotion model Vocabulary modeling 

Notes

Acknowledgments

This work was supported by Institute for Information & communications Technology Promotion (IITP) grant funded by the Korea government (MSIT) (No.2015-0-00312, The development of technology for social life logging based on analyzing social emotion and intelligence of convergence contents)

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Copyright information

© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  • Heajin Kim
    • 1
  • Youngho Jo
    • 1
  • Hana Lee
    • 2
  • Mincheol Whang
    • 3
  1. 1.Emotion Science Research CenterSeoulSouth Korea
  2. 2.Department of Emotion EngineeringSangmyung UniversitySeoulRepublic of Korea
  3. 3.Department of Intelligence Information EngineeringSangmyung UniversitySeoulRepublic of Korea

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