CosMovis: Semantic Network Visualization by Using Sentiment Words of Movie Review Data

This paper facilitates the understanding of each node´s features through Heatmap visualization in creating network visualization, and suggests a clustering of nodes by connecting the sentiment words MDS Map and Social Network. This study on network visualization aims to design an efficient network analysis which enables users to discover a movie based on sentiment words. Movie review data from online resources were applied in this research, and the process is as follows: 1) Calculated a frequency of sentiment words from each movie review. 2) Designed a Heat map visualization to effectively discover the main emotions on each online movie review. 3) 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. 4) Applied the asterism graphic in order to impart the meaning in accordance with the characteristics of clustering for better cognitive interpretation. 5) Progressed pilot test: a cognition level pilot test varying with whether the sentiment words asterism is fixed.