New git repo !
[Warnnings] the new code version of Gargantext is published on our own gitlab server:
Gargantext is a collaborative web platform for the exploration of sets of unstructured documents. It combines tools from natural language processing, text-mining, complex networks analysis and interactive data visualization to pave the way toward new kinds of interactions with your digital corpora. In few minutes, you will be able to do knowledge maps, collaborative state-of-the-art, portfolio analysis and many other crazy things. Say good-bye to headaches in front of thousands of document to analyze and launch yourself into the Gargantext adventure.
This software is free software, developed by the CNRS Complex Systems Institute of Paris Île-de-France (ISC-PIF) and its partners.
Developers willing to join the Gargantext community are welcome.
History of Gargantext
Gargantext project is a continuation of the TINA project (Chavalarias D. 2009-2011, EU FP7 FET Open 245412). The development of Gargantext has benefited from synergies with the whole ecosystem of open source softwares for text and network analytics, including Cortext, NLTK and SigmaJS.
Code of Conduct for the contributors
In order to be allowed to contribute to the project, each contributor has to sign manually or digitally this Code Of Conduct and send it to (team AT gargantext DOT org). In case of digital signature, the digital identity has to be signed by 2 others members of the project at least. Digital identity means certified with the GPG key of the contributor with a strong level of security.
Team, partners and supports
The core team at the origin of Gargantext is :
- David Chavalarias, principal investigator
- Alexandre Delanoë, project manager
- Samuel Castillo J., developer
- Romain Loth, developer
- Mathieu Rodic, developer
- Constance de Quatrebarbes, developer
Host institutions of this project
- CNRS labs ISC-PIF (Institut des Systèmes Complexes de Paris Île de France)
- CAMS (Centre d'Analyse et de Mathématiques Sociales)
This project has received the support from the following institutional partners are :
- Ecole des Hautes Etudes en Science Sociales (EHESS)
- Ecole des Mines ParisTech, CSI
- Institut Pasteur
This project has received grant from the following programs
- IDEFI FORCCAST
- Programme CNRS MI Mastodons