Storyteller: Visual Analytics of Perspectives on Rich Text Interpretations

Meersbergen, Maarten A. J. van; Vossen, Piek; Zwaan, Janneke M. van der; Fokkens, Antske; Hage, Willem Robert van; Leemans, Inger; Maks, Isa

doi:10.18653/v1/w17-4207

Cited by 3 publications

(3 citation statements)

References 18 publications

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“…Moreover, various parts of the representation are used to metaphorize the target. For example, 2D geometric figures such as squares (HYZ13, 74 FCF09 60 ) and spirals (FZC18 75 ) are used along with maps of territories (EYC15 76 ), movement routes (SCS16, 71 SCS17 72 ), and city roads (SCS19 17 ) to represent the sentiment information generated by key players, while a double helix such as that of DNA (LLN14 77 ), and bubble (VWH13, 78 MVM17, 79 PC15PV 80 ) are used to organize the sentiments of opinion holders by year, date, and time. Then, place-time-sentiment keyword topics are explored using three-dimensional (3D) geometric figures, such as cubes (LJC18 81 ).…”

Section: Case Studymentioning

confidence: 99%

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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Section: Case Studymentioning

confidence: 99%

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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“…Recent approaches additionally extract emotions and sentiments from (narrative) texts via natural language processing and visualize them [84,85].…”

Section: Conflicts Of Interestmentioning

confidence: 99%

Once upon a Spacetime: Visual Storytelling in Cognitive and Geotemporal Information Spaces

Mayr

Windhager

2018

IJGI

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Stories are an essential mode, not only of human communication-but also of thinking. This paper reflects on the internalization of stories from a cognitive perspective and outlines a visualization framework for supporting the analysis of narrative geotemporal data. We discuss the strengths and limitations of standard techniques for representing spatiotemporal data (coordinated views, animation or slideshow, layer superimposition, juxtaposition, and space-time cube representation) and think about their effects on mental representations of a story. Many current visualization systems offer multiple views and allow the user to investigate different aspects of a story. From a cognitive point of view, it is important to assist users in reconnecting these multiple perspectives into a coherent picture-e.g., by utilizing coherence techniques like seamless transitions. A case study involving visualizing biographical narratives illustrates how the design of advanced visualization systems can be cognitively and conceptually grounded to support the construction of an integrated internal representation.

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“…Nevertheless, current methods can provide output that we believe to be useful for researchers interested in perspectives. In this section, we illustrate what information can currently be generated by NLP tools through a dataset that the GRaSP framework for representation made available through an interface providing an open source visualization (van der Zwaan et al, 2016;van Meersbergen et al, 2017).…”

Section: Grasp Illustratedmentioning

confidence: 99%

GRaSP: Grounded Representation and Source Perspective

Fokkens

Vossen

Rospocher

et al. 2017

Proceedings of the Workshop Knowledge Resources for the Socio-Economic Sciences and Humanities

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When people or organizations provide information, they make choices regarding what they include and how they represent it. These two aspects combined (the content and the stance) represent a perspective. Investigating perspectives can provide useful insights into the reliability of information, changes in viewpoints over time, shared beliefs among social or political groups and contrasts with other groups, etc. This paper introduces GRaSP, a generic framework for modeling perspectives and their sources.

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Storyteller: Visual Analytics of Perspectives on Rich Text Interpretations

Cited by 3 publications

References 18 publications

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

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

Once upon a Spacetime: Visual Storytelling in Cognitive and Geotemporal Information Spaces

GRaSP: Grounded Representation and Source Perspective

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