The Word Tree, an Interactive Visual Concordance
By Martin Wattenberg, Fernanda B. Viégas. IEEE Transactions on Visualization and Computer Graphics, 2008
370 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Computer Vision and Pattern Recognition, Sociology and Political Science
View Paper: https://www.semanticscholar.org/paper/5d1ab9b87dda77718c06c41d226133d4bc4d90ed
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Shixia Liu
- Jeffrey Heer
- Mengchen Liu
- Jason Chuang
- Christopher D. Manning
- Daniel Ramage
- Yingcai Wu
- Weiwei Cui
In Computer Vision and Pattern Recognition
- Shixia Liu
- Mengchen Liu
- Yingcai Wu
- Weiwei Cui
- Eric Gilbert
- Tanushree Mitra
- Jeffrey Heer
- Christopher D. Manning
In Sociology and Political Science
- Shixia Liu
- Yingcai Wu
- Christopher D. Manning
- Eric Gilbert
- Mengchen Liu
- Jeffrey Heer
- Daniel Ramage
- Jason Chuang
Citations in the corpus
- A survey on information visualization: recent advances and challenges (2014, background): “With the aim of revealing various relationships among terms, Word Tree [149] and Phrase Nets [142] take it a step further.”
- The language that gets people to give: phrases that predict success on kickstarter (2014, background): “To get a glimpse of the structure of the predictive phrases, we present Word Tree visualizations [55] in Figure 6.”
- Interpretation and trust: designing model-driven visualizations for text analysis (2012, background): “WordTree [52] discloses all sentences in which a term occurs using a tree layout.”