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Vocabulary Modeling of Social Emotion Based on Social Life Logging

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Advances in Computer Science and Ubiquitous Computing

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 373))

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Abstract

Life logging in online space has recently been utilized to share emotion rather than to remember daily life.Therefore, this study is to determine social emotion in life logging. Social emotion was analized and collected from emotion vocabularies of 21 power blogging sites in Korea, such as Naver blog, Kakaotalk, Band, Facebook, Instagram, KaKaostory, and Daum. The collected vocabularies were sorted into morphemes and adjectives were extracted. The frequencies of the adjectives were analyzed, and their similarities was subjectively tested over 99 vocabularies showing high frequency. However, they showed insigniticant. In order to make up for the limition of this frequency analysis, 10 out of total 21 target sites were separately selected and 600 adjectives were extracted again. The extracted 600 vocabularies were sorted into 120 groups by Card sorting, and each group’s representative vocabulary was defined as soial emotion demensions.

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Author information

Authors and Affiliations

  1. Emotion Science Research Center, #405, DMC R&D Center, 37, Maebongsan-ro, Mapo-gu, Seoul, 03016, South of Korea

    Hea Jin Kim, Young Ho Jo & Young Joo Kim

  2. Emotion Contents Technology Research Center, Hongji-dong, Jongno-gu, Seoul, 03016, South of Korea

    Hye Sun Kim

  3. Department of Digital Media, Sangmyung University, Hongji-dong, Jongno-gu, Seoul, 03016, South of Korea

    Min Cheol Whang

Authors
  1. Hea Jin Kim
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  2. Young Ho Jo
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  3. Young Joo Kim
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  4. Hye Sun Kim
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  5. Min Cheol Whang
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Corresponding author

Correspondence to Hea Jin Kim .

Editor information

Editors and Affiliations

  1. Department of Computer Software Engg..., Soonchunhyang University, Chungnam, Korea (Republic of)

    Doo-Soon Park

  2. I-Lan, Taiwan

    Han-Chieh Chao

  3. Dept. of Multimedia Eng., Dongguk University, Seoul, Korea (Republic of)

    Young-Sik Jeong

  4. Department of Computer Science and Engg., Seoul University of Science & Technology, Seoul, Korea (Republic of)

    James J. (Jong Hyuk) Park

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© 2015 Springer Science+Business Media Singapore

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Kim, H.J., Jo, Y.H., Kim, Y.J., Kim, H.S., Whang, M.C. (2015). Vocabulary Modeling of Social Emotion Based on Social Life Logging. In: Park, DS., Chao, HC., Jeong, YS., Park, J. (eds) Advances in Computer Science and Ubiquitous Computing. Lecture Notes in Electrical Engineering, vol 373. Springer, Singapore. https://doi.org/10.1007/978-981-10-0281-6_33

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  • DOI: https://doi.org/10.1007/978-981-10-0281-6_33

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-0280-9

  • Online ISBN: 978-981-10-0281-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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