TagCrowd

TagCrowd is a web application for visualizing word frequencies in any user-supplied text by creating what is popularly known as a tag cloud or text cloud.

It was created by Daniel Steinbock, a doctoral student in Design and Education at Stanford University.

Today, text clouds are primarily used for navigation and visualization on Web 2.0 sites that employ user-generated metadata (tags) as a categorization scheme. (Flickr is a good example.)
TagCrowd is doing something different.

When we look at a text cloud, we see not only an informative, beautiful image that communicates much in a single glance, we see a whole new perspective on text.

TagCrowd is taking tag clouds far beyond their original function:

* as topic summaries for speeches and written works
* as blog tool or website analysis for search engine optimization (SEO)
* for visual analysis of survey data
* as brand clouds that let companies see how they are perceived by the world
* for data mining a text corpus
* for helping writers and students reflect on their work
* as name tags for conferences, cocktail parties or wherever new collaborations start
* as resumes in a single glance
* as visual poetry

The list goes on and continues to grow.

In the future, TagCrowd will develop into a suite of experimental tools and tutorials that empower social and collaborative uses for text clouds and related visualizations.

Our mission is to push the innovation envelope in online and face-to-face communities of all stripes.