## 4 Visualization Proposal
### Constellation Visualization  
This session facilitates a cognitive understanding of the process used to design constellation image visualization based on specific nodes and edges with significant sentiment word frequency in order to clarify semantic parts of each clustering. Metaphorical visualizations can map characteristics of certain well-understood visual images/patterns to a more poorly understood data source so that aspects of the target can be more understandable. Recently, Information graphics and the field of information visualization apply a variety of metaphorical devices to make large size, complex, abstract, or otherwise difficult-to-comprehend information understandable in graphical terms [36; 37]. We created an asterism graphic of each cluster network by considering the significant sentiment words, information on movies, and synopses in each cluster. Our research makes it easy to understand the sentiment data system to the general public by using the visual metaphor graphics. In order to realize asterism images, we referred to the labeling data of the 11 different clusters yielded from k-means clustering, the most dominant categories of sentiment words in each cluster, and their following information on movies and synopsis. In order to select a pool of constellation graphics, experts with academic backgrounds in graphic design and movie scenario professionals were  
Figure 6: (a) Heatmap visualization and positioning on the sentiment-movie network. (one point position) in the case of “Don’t Cry Monmy.” (b) Heatmap visualization and positioning on the sentiment-movie network. (more than two point positions) in the case of “Snowpiercer.” Reproduced with permission from [8]; published by [Journal of The Korea Society of Computer and Information], 2016. Figure 7: Sentiment movie network (678 Movie nodes). Reproduced with permission from [6]; published by [IEEE], 2015.  
consulted, ultimately narrowing down options to 2-3 graphics per sentiment cluster. Table 2 below contains the lists of image options corresponding to each of these 11 clusters. For the next phase, 30 students majoring in design and visual media were surveyed to choose the final constellation graphics for representing sentiment words around each cluster. The survey incorporated statements that described relations between sentiment words shown in clusters as well as the choice of images in a 5-point Likert scale. For instance, when a statement of \"An image of a dynamite bears relation with the feeling of surprise\" is presented, the test subject was supposed to mark an answer from a range of \"not at all (1 point) \(\sim\) very much (5 points)\" and evaluate the strength of the link between the sentiment word and the graphic. Table 2 presents the average drawn from these 30 students' data. The graphics with the highest average was chosen as the final constellation to represent the relevant cluster. Table 3 below shows the main emotions and movie examples contained in each cluster as well as motives for choosing each asterism name [6]. This constellation visualization helped us naturally perceive characteristics of a node without having to individually review parts of the network.