InfoCrystal: a visual tool for information retrieval & management
CIKM '93 Proceedings of the second international conference on Information and knowledge management
Automatic text decomposition using text segments and text themes
Proceedings of the the seventh ACM conference on Hypertext
Automatic analysis, theme generation, and summarization of machine-readable texts
Readings in information retrieval
TOPIC ISLANDS—a wavelet-based text visualization system
Proceedings of the conference on Visualization '98
Statistical Models for Text Segmentation
Machine Learning - Special issue on natural language learning
Foundations of statistical natural language processing
Foundations of statistical natural language processing
ThemeRiver: Visualizing Thematic Changes in Large Document Collections
IEEE Transactions on Visualization and Computer Graphics
Summarizing scientific articles: experiments with relevance and rhetorical status
Computational Linguistics - Summarization
Visualizing Sequential Patterns for Text Mining
INFOVIS '00 Proceedings of the IEEE Symposium on Information Vizualization 2000
Visualizing Time-Series on Spirals
INFOVIS '01 Proceedings of the IEEE Symposium on Information Visualization 2001 (INFOVIS'01)
Interactive Visualization of Multiple Query Results
INFOVIS '01 Proceedings of the IEEE Symposium on Information Visualization 2001 (INFOVIS'01)
TextTiling: segmenting text into multi-paragraph subtopic passages
Computational Linguistics
Multi-paragraph segmentation of expository text
ACL '94 Proceedings of the 32nd annual meeting on Association for Computational Linguistics
Dynamic query tools for time series data sets: timebox widgets for interactive exploration
Information Visualization
Visualizing email content: portraying relationships from conversational histories
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
ICML '06 Proceedings of the 23rd international conference on Machine learning
A Term Distribution Visualization Approach to Digital Forensic String Search
VizSec '08 Proceedings of the 5th international workshop on Visualization for Computer Security
Term distribution visualizations with Focus+Context
Proceedings of the 2009 ACM symposium on Applied Computing
Term distribution visualizations with Focus+Context
Multimedia Tools and Applications
Visualization of text streams: a survey
KES'10 Proceedings of the 14th international conference on Knowledge-based and intelligent information and engineering systems: Part II
Dimensionality reduction for text using domain knowledge
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics: Posters
Local histograms of character N-grams for authorship attribution
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies - Volume 1
Watch the Story Unfold with TextWheel: Visualization of Large-Scale News Streams
ACM Transactions on Intelligent Systems and Technology (TIST)
Visualization of temporal text collections based on Correspondence Analysis
Expert Systems with Applications: An International Journal
Visual comparison for information visualization
Information Visualization - Special issue on State of the Field and New Research Directions
Seeing beyond reading: a survey on visual text analytics
Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery
Generating time lines with virtual words for time-varying data visualization
Proceedings of the 5th International Symposium on Visual Information Communication and Interaction
Visualization and analysis of 3D time-varying simulations with time lines
Journal of Visual Languages and Computing
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Documents and other categorical valued time series are often characterized by the frequencies of short range sequential patterns such as n-grams. This representation converts sequential data of varying lengths to high dimensional histogram vectors which are easily modeled by standard statistical models. Unfortunately, the histogram representation ignores most of the medium and long range sequential dependencies making it unsuitable for visualizing sequential data. We present a novel framework for sequential visualization of discrete categorical time series based on the idea of local statistical modeling. The framework embeds categorical time series as smooth curves in the multinomial simplex summarizing the progression of sequential trends. We discuss several visualization techniques based on the above framework and demonstrate their usefulness for document visualization.