lightbulbPractical problemText, Document, and Notebook Visualization
Qualitative researchers struggle to efficiently analyze large-scale text data while remaining skeptical of algorithm-introduced bias.Visualization, Analytics, and Data Understanding / Text, Document, and Notebook Visualization
Qualitative researchers struggle to efficiently analyze large-scale text data while remaining skeptical of algorithm-introduced bias.
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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
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.lightbulbPractical problemText, Document, and Notebook Visualization
Researchers struggle to analyze domain documents and compare their similarities and differences at a conceptual level.Related papers
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