Interactive, topic-based visual text summarization and analysis
Proceedings of the 18th ACM conference on Information and knowledge management
TIARA: a visual exploratory text analytic system
Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining
Visualization and language processing for supporting analysis across the biomedical literature
KES'10 Proceedings of the 14th international conference on Knowledge-based and intelligent information and engineering systems: Part IV
Many bills: engaging citizens through visualizations of congressional legislation
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Context stamp: a topic-based content abstraction for visual concordance analysis
CHI '11 Extended Abstracts on Human Factors in Computing Systems
Corpus clouds - facilitating text analysis by means of visualizations
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Corpusexplorer: supporting a deeper understanding of linguistic corpora
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iDVS: an interactive multi-document visual summarization system
ECML PKDD'11 Proceedings of the 2011 European conference on Machine learning and knowledge discovery in databases - Volume Part III
Visualizing translation variation: Shakespeare's Othello
ISVC'11 Proceedings of the 7th international conference on Advances in visual computing - Volume Part I
Word clouds for efficient document labeling
DS'11 Proceedings of the 14th international conference on Discovery science
Introduction to the Special Section on Intelligent Visual Interfaces for Text Analysis
ACM Transactions on Intelligent Systems and Technology (TIST)
Watch the Story Unfold with TextWheel: Visualization of Large-Scale News Streams
ACM Transactions on Intelligent Systems and Technology (TIST)
DClusterE: A Framework for Evaluating and Understanding Document Clustering Using Visualization
ACM Transactions on Intelligent Systems and Technology (TIST)
TIARA: Interactive, Topic-Based Visual Text Summarization and Analysis
ACM Transactions on Intelligent Systems and Technology (TIST)
Phrases that signal workplace hierarchy
Proceedings of the ACM 2012 conference on Computer Supported Cooperative Work
Interpretation and trust: designing model-driven visualizations for text analysis
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
A sensemaking environment for literature study
CHI '12 Extended Abstracts on Human Factors in Computing Systems
FatFonts: combining the symbolic and visual aspects of numbers
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Seeing beyond reading: a survey on visual text analytics
Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery
Docuburst: visualizing document content using language structure
EuroVis'09 Proceedings of the 11th Eurographics / IEEE - VGTC conference on Visualization
The four-level nested model revisited: blocks and guidelines
Proceedings of the 2012 BELIV Workshop: Beyond Time and Errors - Novel Evaluation Methods for Visualization
"I need to try this"?: a statistical overview of pinterest
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
WordSeer: a knowledge synthesis environment for textual data
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
Understanding employee social media chatter with enterprise social pulse
Proceedings of the 17th ACM conference on Computer supported cooperative work & social computing
The language that gets people to give: phrases that predict success on kickstarter
Proceedings of the 17th ACM conference on Computer supported cooperative work & social computing
Visualizing sentiment: do you see what i mean?
Proceedings of the companion publication of the 19th international conference on Intelligent User Interfaces
Rule-based visual mappings - with a case study on poetry visualization
EuroVis '13 Proceedings of the 15th Eurographics Conference on Visualization
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We introduce the Word Tree, a new visualization and information-retrieval technique aimed at text documents. A word tree is a graphical version of the traditional "keyword-in-context" method, and enables rapid querying and exploration of bodies of text. In this paper we describe the design of the technique, along with some of the technical issues that arise in its implementation. In addition, we discuss the results of several months of public deployment of word trees on Many Eyes, which provides a window onto the ways in which users obtain value from the visualization.