Seeing beyond reading: a survey on visual text analytics
Contribuinte(s) |
UNIVERSIDADE DE SÃO PAULO |
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Data(s) |
24/10/2013
24/10/2013
2012
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Resumo |
We review recent visualization techniques aimed at supporting tasks that require the analysis of text documents, from approaches targeted at visually summarizing the relevant content of a single document to those aimed at assisting exploratory investigation of whole collections of documents.Techniques are organized considering their target input materialeither single texts or collections of textsand their focus, which may be at displaying content, emphasizing relevant relationships, highlighting the temporal evolution of a document or collection, or helping users to handle results from a query posed to a search engine.We describe the approaches adopted by distinct techniques and briefly review the strategies they employ to obtain meaningful text models, discuss how they extract the information required to produce representative visualizations, the tasks they intend to support and the interaction issues involved, and strengths and limitations. Finally, we show a summary of techniques, highlighting their goals and distinguishing characteristics. We also briefly discuss some open problems and research directions in the fields of visual text mining and text analytics. |
Identificador |
WILEY INTERDISCIPLINARY REVIEWS-DATA MINING AND KNOWLEDGE DISCOVERY, SAN FRANCISCO, v. 2, n. 6, pp. 476-492, NOV-DEC, 2012 1942-4787 http://www.producao.usp.br/handle/BDPI/35823 10.1002/widm.1071 |
Idioma(s) |
eng |
Publicador |
WILEY PERIODICALS, INC SAN FRANCISCO |
Relação |
WILEY INTERDISCIPLINARY REVIEWS-DATA MINING AND KNOWLEDGE DISCOVERY |
Direitos |
restrictedAccess Copyright WILEY PERIODICALS, INC |
Palavras-Chave | #DOCUMENT COLLECTIONS #TAG CLOUDS #VISUALIZATION #EXPLORATION #PATTERNS #TRENDS #SPACE #MODEL #MAPS #COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE #COMPUTER SCIENCE, THEORY & METHODS |
Tipo |
article original article publishedVersion |