lightbulbPractical problemText, Document, and Notebook Visualization
Researchers struggle to analyze domain documents and compare their similarities and differences at a conceptual level.Visualization, Analytics, and Data Understanding / Text, Document, and Notebook Visualization
Researchers struggle to analyze domain documents and compare their similarities and differences at a conceptual level.
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lightbulbPractical problemText, Document, and Notebook Visualization
Users struggle to effectively parse complex-format semi-structured text, hindering downstream analysis.lightbulbPractical problemText, Document, and Notebook Visualization
Users struggle to quickly understand and navigate complex long-text content generated by large language models.lightbulbPractical problemText, Document, and Notebook Visualization
Interdisciplinary data science teams face high communication costs; non-technical members struggle to understand complex code.CSCW '23NBGuru: Generating Explorable Data Science Flowcharts to Facilitate Asynchronous Communication in Interdisciplinary Data Science Teams
lightbulbPractical problemText, Document, and Notebook Visualization
Qualitative researchers struggle to efficiently analyze large-scale text data while remaining skeptical of algorithm-introduced bias.lightbulbPractical problemText, Document, and Notebook Visualization
Data scientists spend considerable time creating presentation slides for complex results.lightbulbPractical problemText, Document, and Notebook Visualization
Linguists' multi-tool data processing workflows are inefficient and lack intuitive visualization analysis tools.Related papers
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