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Found 3 papers, 1 papers with code
How Data Scientists Review the Scholarly Literature
Keeping up with the research literature plays an important role in the workflow of scientists - allowing them to understand a field, formulate the problems they focus on, and develop the solutions that they contribute, which in turn shape the nature of the discipline.
An Interdisciplinary Perspective on Evaluation and Experimental Design for Visual Text Analytics: Position Paper
We identify four key groups of challenges for evaluating visual text analytics approaches (data ambiguity, experimental design, user trust, and "big picture" concerns) and provide suggestions for research opportunities from an interdisciplinary perspective.
Characterizing Uncertainty in the Visual Text Analysis Pipeline
Current visual text analysis approaches rely on sophisticated processing pipelines.
