1. Lecture 20 Ying Zhu Georgia State University
CSC4730/6730
Scientific Visualization
Text Visualization
Lecture 20
Ying Zhu
Georgia State University

2. Text visualization
Text has become the dominate form of communication as Web, , text messaging, online chat, and Twitter become pervasive.
Text visualization is considered a difficult task because
There is no established convention for mapping text to visual elements
The relationship among words or sentences are often complicated and hidden

3. Text visualization
The purpose of this lecture is to review some of the existing text visualization techniques

4. Text visualization techniques
Visualizaing word frequency
Tag clouds
Wordles
Word relationship
Word Spectrum Diagrams
Word Association
Phrase Net
Word Tree

5. Tag Cloud
Simple
Quick to identify most frequently used (and perhaps emphasized) words
Is it more effective than simple frequency list?

6. Wordle http://manyeyes.alphaworks.ibm.com/manyeyes/page/Wordle.html
Interesting, but not quite readable
Efficient use of typographical space

7. Phrase Net
Visualize the relationships between different words used in a text

8. Word Trees
Let you pick a word or phrase and shows you all the different contexts in which it appears.
The contexts are arranged in a tree-like branching structure to reveal recurrent themes and phrases.

9. Text Explorer

10. Shared Word Diagrams

11. Digg Story Graph

12. Document Arc Diagrams

13. Transcript Analyzer

14. Transcript Analyzer

15. Document Contrast Diagram

16. Clustered Word Clouds

17. Sentence Bars

18. Word Cloud Comparison

19. OscarTwitterMap

20. Twitter Map

21. TwitArc

22. Literary Organism Map

23. Sentence Drawing

24. Sentence length

25. Other works by Stefanie Posavec

26. Sentence diagrams Analyzing a sentence and visualize its structure

27. Sentence diagrams Examples:
“Diagramming Sarah (Palin)”:

28. Summary There are lots of text visualization techniques
Art work or useful tools?
Need to investigate their effectiveness

29. References