Name
Abstract | ||
|---|---|---|
Document interpretation is a crucial task in many visual analytics applications, made harder by the widespread availability of freely available textual files. In this paper we propose an approach based on topic detection coupled with multiple coordinated views to assist analysis of time varying document collections. Given multiple document maps built from a set of text files, we define a strategy to support users locating the evolution of topics addressed by the documents, along various time steps. The approach is supported by a new algorithm for topic extraction from texts, also introduced. Finally, we show several examples illustrating how the proposed strategy may be applied in the analysis of document collections. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1109/IV.2009.31 | Barcelona |
Keywords | Field | DocType |
text analysis,document interpretation,document maps,multiple coordinated views,textual files,time varying document collection analysis,topic detection,topic extraction,topic-based coordination,visual analysis,coordination,corpus visualization,text visualization,topic extraction | Ontology (information science),Data visualization,Text mining,Algorithm design,Information retrieval,Document clustering,Computer science,Visualization,Visual analytics,Covariance matrix | Conference |
ISSN | ISBN | Citations |
1550-6037 | 978-0-7695-3733-7 | 4 |
PageRank | References | Authors |
0.43 | 13 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Danilo Medeiros Eler | 1 | 27 | 7.34 |
| Fernando Vieira Paulovich | 2 | 87 | 4.22 |
| Maria Cristina F. De Oliveira | 3 | 238 | 13.18 |
| Rosane Minghim | 4 | 589 | 38.81 |