https://github.com/davidhuser/CoolPeopleApp

Extracts persons from text files and exports them as a graph network file (GEXF for Gephi)
https://github.com/davidhuser/CoolPeopleApp

Last synced: 9 days ago
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Extracts persons from text files and exports them as a graph network file (GEXF for Gephi)

• Host: GitHub
• URL: https://github.com/davidhuser/CoolPeopleApp
• Owner: davidhuser
• Archived: true
• Created: 2014-05-31T16:09:34.000Z (over 10 years ago)
• Default Branch: master
• Last Pushed: 2014-08-11T17:22:10.000Z (over 10 years ago)
• Last Synced: 2024-08-02T14:08:17.413Z (3 months ago)
• Language: Java
• Homepage:
• Size: 19 MB
• Stars: 1
• Watchers: 4
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
CoolPeopleApp

=============

> This application generates a Gephi network graph file of persons which are found in pre-specified english input texts.

> Two persons are in the same network if they are being found in the same document.

> It reads resources as text files, reads them in to a String, extracts names with [Named Entity Extraction](http://opennlp.sourceforge.net/models-1.5/) and a large list of prenames

> and generates based on these found names a [GEXF file (Graph Exchange XML Format)](http://gexf.net/format/).

##configuration

Edit Config.java:

* input text files - texts should be in english and plain text  

* export path of graph file – keep .gexf extension in file path

##testing

`mvn test`

##building

assemble .jar with dependencies with `mvn clean compile assembly:single`

##extending

Since it's based reading a String, more input data types can be added later on (web-fetching, databases, ...)

##example

Forbes Top 10 of the richest persons' wikipedia pages [(Wikipedia: The world's billionaires)](http://en.wikipedia.org/wiki/The_World's_Billionaires#2014):

![Graph](http://i.imgur.com/Zpb5YUz.png)

More examples in `examples` folder.