Constructing a Taxonomy for Sentiment Visualization Analysis Using Visual Metaphors

Ha, Hyoji; Joung, Hyerim; Moon, Kwanghyuk; Lee, Kyungwon

doi:10.15187/adr.2022.05.35.2.181

Cited by 2 publications

(8 citation statements)

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“…Taxonomy produced in the preliminary study. 13,14,[32][33][34][35][36][37][38][39][40] sentiment data more comprehensible.'' We present the general process flow of this study in Figure 3.…”

Section: Research Purpose and Methodsmentioning

confidence: 99%

“…The exploration system in this study verifies if the taxonomy from the preliminary study aids in analyzing visual metaphors within sentiment visualization cases. 14 It can also help analyze whether there are a series of regularities in the visual metaphors used in sentiment visualization. Users can sequentially explore individual metaphors or analyze usage patterns of representations, visual variables, and visualization techniques based on the most frequently appearing purpose and motivation.…”

Section: Contributionsmentioning

confidence: 99%

“…This section elucidates the visual metaphors within sentiment visualization, utilizing the five categories established in the preliminary study's taxonomy. 14 Six cases are presented, each highlighting diverse applications and combinations of sub-elements within the taxonomy. Figure 4 displays a representative diagram for each case.…”

Section: Visual Metaphor For Sentiment Visualizationmentioning

confidence: 99%

“…The method used to establish the taxonomy in the previous research can be summarized as follows. 14 Initially, collaboration with four experts specializing in 23,24 Top: GUI of the TimeViz Browser exploration system, Bottom: Appearance during interaction with TimeViz Browser.…”

Section: Construction Of Taxonomymentioning

confidence: 99%

“…In the present work, a taxonomy was utilized as a preliminary study to analyze the process of visual metaphor in sentiment visualization. 14 A taxonomy is the result of categorizing certain data according to specific criteria. 15 Figure 2 shows the structure of the taxonomy.…”

Section: Introductionmentioning

confidence: 99%

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An exploration system to effectively analyze the visual metaphor used in sentiment visualization

Ha,

Moon,

Joung

et al. 2024

Information Visualization

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In the field of data visualization, there has been a recent trend of using a complex type of visualization with a multidimensional structure or using several visualizations in parallel when summarizing the results of sentiment analysis. Although this trend may be useful for sophisticated sentiment analysis, such analysis is difficult for the general public and novice researchers. To address this issue, there has recently been a trend of visualizing sentiments using visual metaphors. To facilitate the understanding of related cases, it is necessary to have a systematic means of grasping the sentiment target, the purpose and motivation of research, and the representations used as substitutes for visual metaphors. Therefore, the objective of the present study was to develop an exploration system that can analyze the visual metaphors used in the case of sentiment visualization. For this study, (1) sentiment visualization cases in which visual metaphors are used were collected. (2) After a taxonomy composed of the categories of “target, intermediation, representation, visual variable, and visualization technique” was constructed, it was used to analyze sentences of visual metaphors appearing in sentiment visualization cases. (3) An exploration system capable of grasping the semantic relationships of sub-elements within the five categories of the taxonomy and intuitively interpreting visual metaphors was developed so that appropriate cases can be recommended to sentiment visualization researchers. (4) The approach and usefulness of the exploration system were explained using user scenarios. (5) A case study was conducted to show that the provided system can be analyzed from various perspectives. (6) The usability of the exploration system was demonstrated through a verification targeting experts. The proposed system allows researchers and analysts to intuitively grasp “what types of visual metaphor method and idea should be equipped to visualize sentiment data in an easier way to understand.”

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“…Taxonomy produced in the preliminary study. 13,14,[32][33][34][35][36][37][38][39][40] sentiment data more comprehensible.'' We present the general process flow of this study in Figure 3.…”

Section: Research Purpose and Methodsmentioning

confidence: 99%

Section: Contributionsmentioning

confidence: 99%

Section: Visual Metaphor For Sentiment Visualizationmentioning

confidence: 99%