Browsing by Author "Keim, Daniel"
Now showing items 1-2 of 2
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Progressive Learning of Topic Modeling Parameters: A Visual Analytics Framework
El-Assady, Mennatallah; Sevastjanova, Rita; Sperrle, Fabian; Keim, Daniel; Collins, Christopher (IEEE, 2017-08-29)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
El-Assady, Mennatallah; Sperrle, Fabian; Deussen, Oliver; Keim, Daniel; Collins, Christopher (IEEE, 2018-09-18)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 ...