CorTexT platform

The CorTexT Platform is the digital platform of LISIS Unit and a project launched and sustained by IFRIS and INRAE.
This platform aims at empowering open research and studies in humanities about the dynamic of science, technology, innovation and knowledge production.

After the emergence and generalization of network analysis in many disciplines and its valorization in on-line bibliometric tools and then in many social media infrastructure of digital business, quali-quantitative of data bases and the booming of @datas is creating a new space for research. Designing and engineering solution for the analysis and the visualization of datasets represents a scientific and technological challenge. Moreover, the next step towards digital humanities does not address only a technological gap for social sciences; it also means the development of epistemic bargain between disciplines of social sciences, artificial intelligence and computing sciences since the complexity of research problem is increasing in relation to the profusion of new data.

Latest scientific works using CorText Manager

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Poibeau, Thierry; Ruiz, Pablo

Generating navigable semantic maps from social sciences corpora Inproceedings

Digital Humanities 2015, 2015.

Abstract | Links | BibTeX

Raimbault, Juste

Models Coupling Urban Growth and Transportation Network Growth: An Algorithmic Systematic Review Approach ECTQG 2015, Bari Inproceedings

European Colloquium on Theoretical and Quantitative Geography 2015, 2015.

Abstract | Links | BibTeX

Masters Theses

el Jamal, Sarah

Framing Arab Poverty Knowledge Production: A Socio-bibliometric Study Masters Thesis

American University of Beirut, 2015.

Abstract | Links | BibTeX



Training Book CorTexT Miscellaneous

2015, (RISIS short course type A, 6 -7 October 2015).


185 entries « 37 of 47 »
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CorText Newsfeed


Providing useful tools, data, methods or algorithms, has been one of the main goals of CorText Team. Therefore, CorText Newsfeed is there to put emphasis on some of our recent activities. We want it to be simple and fast reading so you would be able to pick relevant information for your own work.

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