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Visualization of movie recommendation system using the sentimental vocabulary distribution map

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2016, 21(5), pp.19-29
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science

Ha Hyo Ji 1 HanHyunwoo 1 Seongmin Mun 2 배성윤 1 Lee Ji Hye 1 KyungWon Lee 1

1아주대학교
2아주대학교 라이프미디어 협동과정 통합디자인연구실

Accredited

ABSTRACT

This paper suggests a method to refine a massive collective intelligence data, and visualize with multilevel sentiment network, in order to understand information in an intuitive and semantic way. For this study, we first calculated a frequency of sentiment words from each movie review. Second, we designed a Heatmap visualization to effectively discover the main emotions on each online movie review. Third, we formed a Sentiment-Movie Network combining the MDS Map and Social Network in order to fix the movie network topology, while creating a network graph to enable the clustering of similar nodes. Finally, we evaluated our progress to verify if it is actually helpful to improve user cognition for multilevel analysis experience compared to the existing network system, thus concluded that our method provides improved user experience in terms of cognition, being appropriate as an alternative method for semantic understanding.

Citation status

* References for papers published after 2022 are currently being built.

This paper was written with support from the National Research Foundation of Korea.