Name
Abstract | ||
|---|---|---|
Identifying which text corpus leads in the context of a topic presents a great challenge of considerable interest to researchers. Recent research into lead-lag analysis has mainly focused on estimating the overall leads and lags between two corpora. However, real-world applications have a dire need to understand lead-lag patterns both globally and locally. In this paper, we introduce TextPioneer, an interactive visual analytics tool for investigating lead-lag across corpora from the global level to the local level. In particular, we extend an existing lead-lag analysis approach to derive two-level results. To convey multiple perspectives of the results, we have designed two visualizations, a novel hybrid tree visualization that couples a radial space-filling tree with a node-link diagram and a twisted-ladder-like visualization. We have applied our method to several corpora and the evaluation shows promise, especially in support of text comparison at different levels of detail. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/TKDE.2014.2324581 | IEEE Trans. Knowl. Data Eng. |
Keywords | DocType | Volume |
corpora,text visualization,topical lead-lag,text comparison,tree data structures,adaptive focus + context,node-link diagram,text corpus,twisted-ladder-like visualization,topic context,tree visualization,radial space-filling tree,interactive visual analytics tool,data visualisation,hybrid tree visualization,lead-lag analysis,text analysis,textpioneer,data visualization,computational modeling,data mining,lead,visualization | Journal | 27 |
Issue | ISSN | Citations |
1 | 1041-4347 | 1 |
PageRank | References | Authors |
0.35 | 0 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Shixia Liu | 1 | 2095 | 82.41 |
| Yang Chen | 2 | 16 | 1.39 |
| Hao Wei | 3 | 78 | 3.33 |
| Jing Yang | 4 | 91 | 5.41 |
| Kun Zhou | 5 | 3690 | 159.79 |
| steven m drucker | 6 | 2399 | 286.15 |