ArchiText: Interactive Hierarchical Topic Modeling

Human-in-the-loop topic modeling allows users to explore and steer the process to produce better quality topics that align with their needs. When integrated into visual analytic systems, many existing automated topic modeling algorithms are given interactive parameters to allow users to tune or adju...

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Veröffentlicht in:IEEE transactions on visualization and computer graphics Jg. 27; H. 9; S. 3644 - 3655
Hauptverfasser: Kim, Hannah, Drake, Barry, Endert, Alex, Park, Haesun
Format: Journal Article
Sprache:Englisch
Veröffentlicht: United States IEEE 01.09.2021
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:
Algorithms
Analytical models
Computational modeling
Context modeling
Data mining
Data models
Data visualization
hierarchical topics
Interactive systems
nonnegative matrix factorization
Systems analysis
Task analysis
Text analytics
topic modeling
Visual analytics
ISSN:1077-2626, 1941-0506, 1941-0506
Online-Zugang:Volltext
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Zusammenfassung:Human-in-the-loop topic modeling allows users to explore and steer the process to produce better quality topics that align with their needs. When integrated into visual analytic systems, many existing automated topic modeling algorithms are given interactive parameters to allow users to tune or adjust them. However, this has limitations when the algorithms cannot be easily adapted to changes, and it is difficult to realize interactivity closely supported by underlying algorithms. Instead, we emphasize the concept of tight integration, which advocates for the need to co-develop interactive algorithms and interactive visual analytic systems in parallel to allow flexibility and scalability. In this article, we describe design goals for efficiently and effectively executing the concept of tight integration among computation, visualization, and interaction for hierarchical topic modeling of text data. We propose computational base operations for interactive tasks to achieve the design goals. To instantiate our concept, we present ArchiText, a prototype system for interactive hierarchical topic modeling, which offers fast, flexible, and algorithmically valid analysis via tight integration. Utilizing interactive hierarchical topic modeling, our technique lets users generate, explore, and flexibly steer hierarchical topics to discover more informed topics and their document memberships.
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ISSN:1077-2626
1941-0506
1941-0506
DOI:10.1109/TVCG.2020.2981456