Visualization of movie recommendation system using the sentimental vocabulary distribution map (감정어휘 분포맵을 이용한 영화추천 시스템의 시각화)

Ha Hyo Ji (하효지); HanHyunwoo (한현우); Seongmin Mun (문성민); 배성윤; Lee Ji Hye (이지혜); KyungWon Lee (이경원)

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.

KEYWORDS

Data Visualization, Semantic networks, Sentiment word analysis, Review data mining, Movie recommendation system, Sentiment movie network

Citation status

* References for papers published after 2023 are currently being built.

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

KJCKorea
Journal Central

Journal of The Korea Society of Computer and Information 2023 KCI Impact Factor : 0.65