@conference {shi_understanding_2010,
	title = {Understanding text corpora with multiple facets},
	booktitle = {2010 IEEE Symposium on Visual Analytics Science and Technology (VAST)},
	year = {2010},
	note = {00031},
	pages = {99{\textendash}106},
	abstract = {This article responded to the rising "interest in analyzing complex text documents" that are composed of multiple and varied data fields. The authors argue that there is an overwhelming need for a visual analytics tool to support this type of analysis. While existing tools focus on revealing patterns and summarizing content, this new tool is the first to integrate "interactive visualization with a multi-faceted data model of the text corpora for effective visual representation, navigation, and analytics." The authors discuss both Latent Semantic Indexing and Latent Dirichlet Allocation as well as the various visualization strategies employed to make complex data readable in a graphic representation. To illustrate the effectiveness of the tool, two case studies are provided. },
	keywords = {Correlation, data facets, Data mining, data model, data models, data visualisation, data visualization, Layout, multi-facet data visualization, Navigation, text analysis, text corpora, text visualization, user interfaces, visual analysis, visual interaction method, visualization},
	doi = {10.1109/VAST.2010.5652931},
	author = {Shi, L. and Wei, Furu and Liu, Shixia and Tan, Li and Lian, Xiaoxiao and Zhou, M.X.}
}