Seeing beyond reading: a survey on visual text analytics


Autoria(s): Alencar, Aretha Barbosa; Oliveira, Maria Cristina Ferreira de; Paulovich, Fernando Vieira
Contribuinte(s)

UNIVERSIDADE DE SÃO PAULO

Data(s)

24/10/2013

24/10/2013

2012

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

http://dx.doi.org/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