Text visualization - by Jeff Clark
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Transcript of Text visualization - by Jeff Clark
Text Visualization:
Beyond the Word Cloud
Jeff Clark
February 12th, 2014
Map of the Market, by Martin Wattenberg
What is Text Visualization ?
Text Measurements Visual
Wordle, by Jonathan Feinberg
Wordle Variations on Same Text
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“Word clouds considered harmful” - Jacob Harris
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Strengths of Word Clouds:
- People find them engaging
- They communicate the primary topic of a document
- They visually emphasize primary words in a direct way
- Easy to create
- Words are powerful signifiers of meaning
Variation: Clustered Word Clouds
Variation: Accentuated Word Clouds
Variation: Word Spectrum, by Chris Harrison
Variation: Shaped Word Clouds
Variation: Shaped Word Clouds
Variation: Linked Word Association Clouds
Variation: Topical/Complex, H. Andrew Swartz, et al
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Alternatives to Word Clouds
Code Visualization with Seesoft, by Stephen G. Eick
TextArc, by W. Bradford Paley
Similar Diversity, by Philipp Steinweber and Andreas Koller
Novel Views – Les Miserables
Total Interaction, by Magnus Rembold and Jürgen Späth
Phrase Maps, by Many Eyes
Literary Organism, by Stefanie Posavec
Poetry & Limerick Visualizations, by Lee Byron
Sentiment in the Bible, by openbible.info
Split Bubble Spectrum, by New York Times
State of the Union, by Kennedy Elliott et al (Washington Post)
Sentence Topic Bars
Parallel Tag Clouds, by Christopher Collins et al
Document Contrast Diagrams
Google Ngram Viewer, by Google
The Preservation of Favoured Traces, by Ben Fry
- Word Clouds have limitations but can be effective at showing topics
- There are many types of information to show besides word counts
- There are lots of ways to visualize text apart from Word Clouds
- Consider the goal of the visualization before choosing a visual form
- A visualization can be a framework for navigation of the original data
Key Points: