Designing visual text analysis methods to support sensemaking and modeling
Abstract/Contents
- Abstract
- This dissertation examines the co-design of interactive visualizations and statistical analysis algorithms to improve the process of visual analytics--to create effective workflows where human cognition and algorithms work in tandem to yield insights about large and complex data. I present the results of applying a human-centered iterative design process to a variety of projects: visualization of statistical topic models, analysis tools to assess topic model quality and domain relevance, and descriptive phrases for text summarization. This work develops novel interactive visualizations, enables more efficient analytic workflows, and contributes to our understanding of human categorization, topic modeling, and text summarization. I also distill design principles and processes to help practitioners incorporate increasingly sophisticated models into data analysis tools. Across these projects, I demonstrate how we can effectively integrate diverse perspectives from information visualization, human-computer interaction, and machine learning to support effective model-driven data analysis.
Description
Type of resource | text |
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Form | electronic; electronic resource; remote |
Extent | 1 online resource. |
Publication date | 2013 |
Issuance | monographic |
Language | English |
Creators/Contributors
Associated with | Chuang, Jason Chia-Chen |
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Associated with | Stanford University, Department of Computer Science. |
Primary advisor | Heer, Jeffrey Michael |
Thesis advisor | Heer, Jeffrey Michael |
Thesis advisor | Manning, Christopher D |
Thesis advisor | McFarland, Daniel |
Advisor | Manning, Christopher D |
Advisor | McFarland, Daniel |
Subjects
Genre | Theses |
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Bibliographic information
Statement of responsibility | Jason Chia-Chen Chuang. |
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Note | Submitted to the Department of Computer Science. |
Thesis | Ph.D. Stanford University 2013 |
Location | electronic resource |
Access conditions
- Copyright
- © 2013 by Jason Chia-Chen Chuang
- License
- This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).
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