W
Wenwen Dou
Researcher at University of North Carolina at Charlotte
Publications - 71
Citations - 1686
Wenwen Dou is an academic researcher from University of North Carolina at Charlotte. The author has contributed to research in topics: Visual analytics & Visualization. The author has an hindex of 20, co-authored 68 publications receiving 1374 citations.
Papers
More filters
Proceedings ArticleDOI
LeadLine: Interactive visual analysis of text data through event identification and exploration
TL;DR: An interactive visual analytics system to automatically identify meaningful events in news and social media data and support exploration of the events and allows users to interactively examine meaningful events using the 4 Ws to develop an understanding of how and why.
Journal ArticleDOI
HierarchicalTopics: Visually Exploring Large Text Collections Using Topic Hierarchies
TL;DR: A case study is presented that showcases how HierarchicalTopics aid expert users in making sense of a large number of topics and discovering interesting patterns of topic groups, and a user study is conducted to quantitatively evaluate the effect of hierarchical topic structure.
Journal ArticleDOI
Recovering Reasoning Processes from User Interactions
Wenwen Dou,Dong Hyun Jeong,Felesia Stukes,William Ribarsky,Heather Richter Lipford,Remco Chang +5 more
TL;DR: By examining analysts' interaction logs, the authors identified the analysts' strategies, methods, and findings when using a financial VA tool.
Proceedings ArticleDOI
ParallelTopics: A probabilistic approach to exploring document collections
TL;DR: A novel visual analytics system, Parallel-Topics, which integrates a state-of-the-art probabilistic topic model Latent Dirichlet Allocation (LDA) with interactive visualization to help users make sense of large text corpora.
Proceedings ArticleDOI
Analytic provenance: process+interaction+insight
TL;DR: The goal of this workshop is to provide a forum for researchers and practitioners from academia, national labs, and industry to share methods for capturing, storing, and reusing user interactions and insights.