https://github.com/spupyrev/swcv

Semantics-Preserving Word Cloud Representation
https://github.com/spupyrev/swcv

Last synced: 9 days ago
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Semantics-Preserving Word Cloud Representation

• Host: GitHub
• URL: https://github.com/spupyrev/swcv
• Owner: spupyrev
• License: mit
• Created: 2014-01-05T08:45:40.000Z (almost 11 years ago)
• Default Branch: master
• Last Pushed: 2017-03-16T04:30:23.000Z (over 7 years ago)
• Last Synced: 2024-07-09T01:24:43.614Z (4 months ago)
• Language: Java
• Homepage: wordcloud.cs.arizona.edu
• Size: 39.4 MB
• Stars: 30
• Watchers: 5
• Forks: 10
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
Semantic Word Cloud Visualization

=====

**Cloudy** is a system to create semantics-aware word cloud visualizations. A [live version of this code](http://wordcloud.cs.arizona.edu) is available, including a description of the algorithms implemented and several research papers describing how the system works.

Basic Setup and Usage Information

--------

The system comes as a command line tool or via web interface. It can also be used as a java library.

###Command line usage:

1. Install [Java SE Runtime Environment 8+](http://www.oracle.com/technetwork/java/javase/downloads/index.html)

2. Download [cloudy.jar](lib/cloudy.jar)

3. Prepare input text file and invoke the tool by running *"java -jar cloudy.jar [options] [input file]"* (without quotes). The options can be printed by running *"java -jar cloudy.jar -?"*

###Using web interface:

1. Install [Java SE Runtime Environment 8+](http://www.oracle.com/technetwork/java/javase/downloads/index.html)

2. Install [GWT](http://www.gwtproject.org) library

3. Download [cloudy](/cloudy) and [webapp](/webapp) projects

4. Follow the [instructions](http://www.gwtproject.org/gettingstarted.html) on how to compile and deploy the web application

License

--------

Code is released under the [MIT License](LICENSE).