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Facilitating the Analysis of Immunological Data with Visual Analytic Techniques

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Visual Analysis of Argumentation in Essays.

Dora Kiesel, Patrick Riehmann, Henning Wachsmuth

IEEE Transactions on Visualization and Computer Graphics

|October 13, 2020

Summary

This visual analytics system helps analyze argument structures in essays using glyphs and hierarchical trees. It reveals patterns and trends in argumentation, offering new insights into essay corpora.

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Area of Science:

Computational Linguistics
Human-Computer Interaction
Digital Humanities

Background:

Analyzing argumentation in large essay corpora is challenging.
Existing methods lack effective visualization for argument structures.
Understanding essay argumentation requires detailed analysis of unit progression and stance.

Purpose of the Study:

To present a visual analytics system for exploring, analyzing, and comparing argument structures in essay corpora.
To enable detailed examination of argument unit progression, stance, and commonalities within essay subsets.
To facilitate the discovery of previously unknown information regarding argumentation patterns.

Main Methods:

Developing a visual analytics system with "ArguLines" (sequences of glyphs) representing argument units.
Utilizing an "Argument Unit Occurrence Tree" with hierarchical histograms for detailed analysis.
Implementing interactive features for visual filtering and studying stance evolution.
Integrating a text view for verification and annotation.

Main Results:

The system provides an overview of essay corpora using ordered "ArguLines" to reveal patterns and outliers.
Hierarchical histograms aggregate argument structures, facilitating statistical analysis of argumentation trends.
Interactive views allow for in-depth comparison of argument structures between essay subsets.
Expert reviews confirmed the system's utility and uncovered novel information about the sample corpus's argumentation.

Conclusions:

The visual analytics system effectively supports the exploration and analysis of argument structures in essay corpora.
The system's interactive features and hierarchical views provide deep insights into argumentation patterns and evolution.
The developed tool aids in identifying commonalities, differences, and trends in essay argumentation, enhancing scholarly understanding.