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Related Experiment Video

Updated: Dec 25, 2025

Constructing and Visualizing Models using Mime-based Machine-learning Framework

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ArchiText: Interactive Hierarchical Topic Modeling.

Hannah Kim, Barry Drake, Alex Endert

IEEE Transactions on Visualization and Computer Graphics

|March 20, 2020

Summary

This summary is machine-generated.

Human-in-the-loop topic modeling enhances text analysis by allowing users to steer topic generation. This approach, termed tight integration, enables flexible and scalable discovery of informed topics and document memberships.

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Area of Science:

Information Science
Computer Science
Data Visualization

Background:

Traditional topic modeling in visual analytics offers limited user control through adjustable parameters.
Existing methods face challenges in adapting algorithms to user needs and achieving deep algorithmic interactivity.
The concept of tight integration proposes parallel development of interactive algorithms and visual systems for flexibility and scalability.

Purpose of the Study:

To define design goals for tight integration of computation, visualization, and interaction in hierarchical topic modeling.
To introduce computational base operations supporting interactive topic analysis.
To present ArchiText, a prototype system for interactive hierarchical topic modeling.

Main Methods:

Developing interactive algorithms and visual analytic systems in parallel.
Proposing computational base operations for interactive tasks.
Implementing ArchiText, a prototype system for hierarchical topic modeling.

Main Results:

ArchiText enables fast, flexible, and algorithmically valid analysis through tight integration.
The system allows users to generate, explore, and steer hierarchical topics effectively.
Users can discover more informed topics and their document memberships.

Conclusions:

Tight integration is crucial for effective human-in-the-loop topic modeling.
Interactive hierarchical topic modeling facilitates deeper insights into text data.
ArchiText demonstrates the practical application and benefits of tight integration.