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Document visualization: an overview of current research
Author(s) -
Gan Qihong,
Zhu Min,
Li Mingzhao,
Liang Ting,
Cao Yu,
Zhou Baoyao
Publication year - 2013
Publication title -
wiley interdisciplinary reviews: computational statistics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.693
H-Index - 38
eISSN - 1939-0068
pISSN - 1939-5108
DOI - 10.1002/wics.1285
Subject(s) - visualization , computer science , information visualization , data science , field (mathematics) , graphics , focus (optics) , information retrieval , creative visualization , point (geometry) , visual analytics , data visualization , exploratory data analysis , computer graphics , data mining , computer graphics (images) , physics , mathematics , geometry , pure mathematics , optics
As the number of sources and quantity of document information explodes, efficient and intuitive visualization tools are desperately needed to assist users in understanding the contents and features of a document, while discovering hidden information. This overview introduces fundamental concepts of and designs for document visualization, a number of representative methods in the field, and challenges as well as promising directions of future development. The focus is on explaining the rationale and characteristics of representative document visualization methods for each category. A discussion of the limitations of our classification and a comparison of reviewed methods are presented at the end. This overview also aims to point out theoretical and practical challenges in document visualization. WIREs Comput Stat 2014, 6:19–36. doi: 10.1002/wics.1285 This article is categorized under: Algorithms and Computational Methods > Computer Graphics Statistical Learning and Exploratory Methods of the Data Sciences > Text Mining