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Progressive Learning of Topic Modeling Parameters: A Visual Analytics Framework
Topic modeling algorithms are widely used to analyze the thematic composition of text corpora but remain difficult to interpret and adjust. Addressing these limitations, we present a modular visual analytics framework, ...
Visual Analytics for Topic Model Optimization based on User-Steerable Speculative Execution
To effectively assess the potential consequences of human interventions in model-driven analytics systems, we establish the concept of speculative execution as a visual analytics paradigm for creating user-steerable preview ...