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tudarmstadt-lt / newsleak

Science and Data-Driven Journalism: Data Extraction and Interactive Visualization of Unexplored Textual Datasets for Investigative Data-Driven Journalism
http://newsleak.io
GNU Affero General Public License v3.0
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NEW/S/LEAK

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Science and Data-Driven Journalism: Data Extraction and Interactive Visualization of Unexplored Textual Datasets for Investigative Data-Driven Journalism (DIVID-DJ)

newsleak

1. Build Instructions

The newsleak project consists of two dependent sub-projects (common and core) linked via a multi-sbt-project build. Run sbt clean compile assembly to compile and assembly all sub-projects. In case the build is successful, the jar files can be found in the projects target/scala-2.11/ folder.

Make sure you have the build tool sbt installed. It can be downloaded here. To change the build process or add/remove dependencies have a look in the project folder.

Want to help?

Want to find a bug, contribute some code, or improve documentation? Read up on our guidelines for contributing and then check out one of our issues.

License

Copyright (C) 2016  Language Technology Group

This program is free software: you can redistribute it and/or modify
it under the terms of the GNU Affero General Public License as
published by the Free Software Foundation, either version 3 of the
License, or (at your option) any later version.

This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
GNU Affero General Public License for more details.

You should have received a copy of the GNU Affero General Public License
along with this program.  If not, see <http://www.gnu.org/licenses/>.