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Understanding text corpora with multiple facets
2010
2010 IEEE Symposium on Visual Analytics Science and Technology
Text visualization becomes an increasingly more important research topic as the need to understand massive-scale textual information is proven to be imperative for many people and businesses. However, it is still very challenging to design effective visual metaphors to represent large corpora of text due to the unstructured and high-dimensional nature of text. In this paper, we propose a data model that can be used to represent most of the text corpora. Such a data model contains four basic
doi:10.1109/vast.2010.5652931
dblp:conf/ieeevast/ShiWLTLZ10
fatcat:6cnm7lp7uja65owcvho34sky44