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Rating Prediction Used AI Big Data: Empathy Word in Network Analysis Method

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Advances in Artificial Intelligence, Software and Systems Engineering (AHFE 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1213))

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Abstract

Through big data analysis of social media, we analyzed the relationship between the emotional network and the semantic network structure of rational language with the viewership and the degree of immersion through UCINET analysis, one of the social network analysis software. As a result of applying the technique, the more concentrated the semantic connection of the emotional language, the higher the viewer rating, and when the rational language and story structure were dispersed, the viewer rating fell. In addition, the stronger the centrality of the language network, the higher the viewer rating and vice versa.

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Author information

Authors and Affiliations

  1. Department of Media and Communication, Sungkyunkwan University, Seoul, Korea

    Sang Hee Kweon & Yook Jung-Jung

  2. College of Social Sciences, Sungkyunkwan University, Seoul, Korea

    Hyeon-Ju Cha

Authors
  1. Sang Hee Kweon
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  2. Hyeon-Ju Cha
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  3. Yook Jung-Jung
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Corresponding author

Correspondence to Sang Hee Kweon .

Editor information

Editors and Affiliations

  1. Institute for Advanced Systems Engineering, University of Central Florida, Orlando, FL, USA

    Tareq Ahram

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Kweon, S.H., Cha, HJ., Jung-Jung, Y. (2021). Rating Prediction Used AI Big Data: Empathy Word in Network Analysis Method. In: Ahram, T. (eds) Advances in Artificial Intelligence, Software and Systems Engineering. AHFE 2020. Advances in Intelligent Systems and Computing, vol 1213. Springer, Cham. https://doi.org/10.1007/978-3-030-51328-3_5

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