ConText : Download

Please read the license before downloading ConText.

ConText Application Executable Files

The ConText application executable files (e.g., ConText.dmg, ConText-1.*-x64.exe, ConText-1.*-x86.exe, ConText.jar, and ConText.zip) are licensed under GNU General Public License version 3.0 or later license.

The executable files include the following:

The application code, packaged into a set of JAR files, plus any other application resources (data files, native libraries)
A private copy of the Java and JavaFX Runtimes, to be used by this application only
A native launcher for the application
Metadata, such as icons

Copyright © 2020 University of Illinois Board of Trustees. All rights reserved. 
Other copyright statements provided below.

Developed at the iSchool, by Dr. Jana Diesner, Amirhossein Aleyasen, 
Chieh-Li Chin, Shubhanshu Mishra, Kiumars Soltani, and Liang Tao, Ming Jiang, 
Harathi Korrapati, Nikolaus Nova Parulian, and Lan Jiang.

http://context.ischool.illinois.edu/

U of I Source Codes

The following files are released under GNU General Public License version 2.0 or later license:

All files in directory "build"
All files in directory "installer"
All files in directory "logo"
All files in directory "src"
.classpath, .project, build.fxbuild, build.xml, and mainfest.mf

Copyright © 2020 University of Illinois Board of Trustees. All rights reserved. 
Other copyright statements provided below.

Developed at the iSchool, by Dr. Jana Diesner, Amirhossein Aleyasen, 
Chieh-Li Chin, Shubhanshu Mishra, Kiumars Soltani, and Liang Tao, Ming Jiang, 
Harathi Korrapati, Nikolaus Nova Parulian, and Lan Jiang.

http://context.ischool.illinois.edu/

Dependencies

The following dependencies are required for the application, and should be used under their licenses.

Apache License 2.0

Joda-Time:
http://www.joda.org/joda-time/
Apache License 2.0

Jollyday:
http://jollyday.sourceforge.net/
Apache License 2.0

JSONIC:
http://en.sourceforge.jp/projects/jsonic/
Apache License 2.0

language-detection:
http://code.google.com/p/language-detection/
Apache License 2.0

OpenCSV:
http://opencsv.sourceforge.net/
Apache license 2.0
Copyright(c) 2007, 2010 Kyle Miller.

Sentiment Word Clusters:
https://github.com/napsternxg/SentimentWordClusters
Apache License 2.0

GNU License

Gephi toolkit:
http://gephi.org/toolkit/
GNU General Public License v3.0

jXLS:
http://jxls.sourceforge.net
GNU Lesser General Public License v3.0

Mallet:
http://mallet.cs.umass.edu
GNU General Public License v3.0
Reference:
McCallum, Andrew Kachites. "MALLET: A Machine Learning for Language Toolkit."
http://mallet.cs.umass.edu. 2002.

Stanford CoreNLP:
http://nlp.stanford.edu/software/corenlp.shtml
GNU General Public License v3.0 or later
Reference:
Manning, Christopher D., Surdeanu, Mihai, Bauer, John, Finkel, Jenny, Bethard, Steven J., and McClosky, David. 2014. The Stanford CoreNLP Natural Language Processing Toolkit. In Proceedings of 52nd Annual Meeting of the Association for Computational Linguistics: System Demonstrations, pp. 55-60. [pdf] [bib]

Stanford Named Entity Recognizer (NER):
http://nlp.stanford.edu/software/CRF-NER.shtml
GNU General Public License v2 or later
Note:
We are using the following files in the data/Classifiers folder: english.all.3class.distsim.crf.ser.gz, english.all.3class.distsim.prop, english.conll.4class.distsim.crf.ser.gz, english.conll.4class.distsim.prop, english.muc.7class.distsim.crf.ser.gz, english.muc.7class.distsim.prop, ner-eng-ie.crf-3-all2008-distsim.ser.gz, ner-eng-ie.crf-3-all2008.ser.gz, ner-eng-ie.crf-4-conll-distsim.ser.gz, ner-eng-ie.crf-4-conll.ser.gz

Stanford Parser:
http://nlp.stanford.edu/software/lex-parser.shtml
GNU General Public License v2 or later
Note:
We've removed the following models from stanford-parser-3.4.1-models.jar: arabicFactored.ser.gz, chineseFactored.ser.gz, chinesePCFG.ser.gz, englishRNN.ser.gz, frenchFactored.ser.gz, germanFactored.ser.gz, germanPCFG.ser.gz, wsjRNN.ser.gz
Reference:
Dan Klein and Christopher D. Manning. 2003. Accurate Unlexicalized Parsing. Proceedings of the 41st Meeting of the Association for Computational Linguistics, pp. 423-430.
Dan Klein and Christopher D. Manning. 2003. Fast Exact Inference with a Factored Model for Natural Language Parsing. In Advances in Neural Information Processing Systems 15 (NIPS 2002), Cambridge, MA: MIT Press, pp. 3-10.
Marie-Catherine de Marneffe, Bill MacCartney and Christopher D. Manning. 2006. Generating Typed Dependency Parses from Phrase Structure Parses. In LREC 2006.

Stanford POS Tagger:
http://nlp.stanford.edu/software/tagger.shtml
GNU General Public License v2 or later
Reference:
Kristina Toutanova, Dan Klein, Christopher Manning, and Yoram Singer. 2003. Feature-Rich Part-of-Speech Tagging with a Cyclic Dependency Network. In Proceedings of HLT-NAACL 2003, pp. 252-259.

Subjectivity lexicon:
http://mpqa.cs.pitt.edu/lexicons/subj_lexicon/
GNU General Public License v3.0
Reference:
Theresa Wilson, Janyce Wiebe and Paul Hoffmann (2005). Recognizing Contextual Polarity in Phrase-Level Sentiment Analysis. Proceedings of HLT/EMNLP-2005.

Trove:
http://trove.starlight-systems.com/license
GNU Lesser General Public License (LGPL) 2.1 or later

XOM:
http://www.xom.nu/
GNU Lesser General Public License (LGPL) 2.1

Zulu OpenJDK with OpenJFX8

Certain portions of this software are based on source code from OpenJDK (http://openjdk.java.net/) and licensed under the GNU General Public License version 2 (GPLv2) with the Classpath Exception (http://openjdk.java.net/legal/gplv2+ce.html).

Other Licenses

D3.js:
https://github.com/mbostock/d3
BSD 3-Clause License
Copyright (c) 2010-2015, Michael Bostock

MonologFX:
https://github.com/hecklerm/MonologFX
MIT License

SecondString:
http://secondstring.sourceforge.net/
University of Illinois/NCSA Open Source License

Download

Please Note!

Make sure you read the Quick Installation Guide to get further instructions on using ConText.

Source Code

Please visit our ConText GitHub website for the source code.

Citing ConText

While not a condition of use, the developers would appreciate if you acknowledge its use with the following citations:

Diesner, J. (2014). ConText: Software for the Integrated Analysis of Text Data and Network Data. Paper presented at the Social and Semantic Networks in Communication Research. Preconference at Conference of International Communication Association (ICA), Seattle, WA.

Diesner, J., Aleyasen, A., Chin, C., Mishra, S., Soltani, K., Tao, L., Jiang, M., Korrapati, H., Parulian, N., & Jiang, L. (2020). ConText: Network Construction from Texts [Software]. Available from http://context.ischool.illinois.edu/

Mailing List

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