Cortext platform
At Cortext, our goal is to empower researchers in the social sciences and humanities by promoting advanced qualitative-quantitative mixed methods. Our primary focus is on studies about the dynamics of science, technology and innovation, and about the roles of knowledge and expertise in societies.
We understand the move towards digital humanities and computational methods not as addressing a technological gap for the social sciences, but rather as entailing entirely new assemblages between its disciplines and those of modern statistics and computer sciences. We work to tackle ever more complex research problems and deal with the profusion of new and diverse sources of information without losing sight of the situatedness and reflexivity required of studies of human societies.
Cortext is hosted by the LISIS research unit at Gustave Eiffel University, and was launched by French institutes IFRIS and INRAE, receiving their continued support.
Cortext Manager
Cortext Manager is our current main attraction, a publicly available web service providing data analysis methods curated and developed by our team of researchers and engineers.
You upload a textual corpus in order to analyse its discourse, names, categories, citations, places, dates etc, with methods for science/controversy/issue mapping, distant reading, document clustering, geo-spatial and network visualizations, and more.
You can jump straight to Cortext Manager and create an account, but we strongly suggest taking a look at the Documentation and Tutorials as you start your journey.
Latest journal articles employing our instruments
Journal Articles
2022
Stephens, Raphaël
Étudier les circuits courts par les traces numériques de leurs réseaux. Le cas de la plateforme La Ruche qui dit Oui ! en Île-de-France. Journal Article
In: EchoGéo, 2022.
@article{Stephens2022,
title = {Étudier les circuits courts par les traces numériques de leurs réseaux. Le cas de la plateforme La Ruche qui dit Oui ! en Île-de-France.},
author = {Raphaël Stephens},
url = {http://journals.openedition.org/echogeo/23542},
doi = {10.4000/echogeo.23542},
year = {2022},
date = {2022-06-30},
urldate = {2022-06-30},
journal = {EchoGéo},
abstract = {Les plateformes et traces numériques qui reconfigurent les circuits courts et autres Alternative Food Networks (AFN) génèrent d’importantes possibilités d’analyse structurelle de leurs réseaux. Cet article étudie la structure du réseau de la plateforme de produits locaux La Ruche qui dit Oui ! à travers les données numériques sur les interactions entre ses fournisseurs et ses points de distribution. Une méthode d’analyse de graphe mobilisant les outils de la Plateforme CorText permet l’identification de résultats exploratoires caractérisés par des rapports inégalitaires au sein du réseau. Des liens sont ainsi révélés entre (i) degré d’intégration au réseau des distributeurs et leur centralité-périphérie géographique et socio-économie territoriale, et (ii) degré d’intégration au réseau des fournisseurs selon la nature brute ou transformée des aliments qu’ils commercialisent.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Mao, Hanjin; Li, Huafang
Can machine understand public administration literature? Applying text mining for systematic review Journal Article
In: Chinese Public Administration Review, 2022.
@article{Mao2022,
title = {Can machine understand public administration literature? Applying text mining for systematic review},
author = {Hanjin Mao and Huafang Li},
url = {https://journals.sagepub.com/doi/abs/10.1177/15396754221109319},
doi = {10.1177/15396754221109319},
year = {2022},
date = {2022-06-28},
urldate = {2022-06-28},
journal = {Chinese Public Administration Review},
abstract = {Systematic reviews summarize the progress of studies and pave roads for future research in an academic field. However, conducting a systematic literature review can be burdensome and time-consuming. Computer-assisted methods such as text mining techniques have been increasingly applied to improve systematic reviews in public administration. To test the reliability of using text mining for systematic literature reviews, this study uses clustering, topic modeling, automatic multi-term extraction, and text network to systematically review articles published in Chinese Public Administration Review from 2002 to 2019. By comparing machine-produced topics with existing human-coded themes, findings show that applying text mining methods for systematic reviews can be reliable and effective with cautions. The study also offers practical suggestions for researchers to apply text mining methods for systematic literature reviews.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Milia, Matias Federico; Giralt, Ariadna Nebot; Arvanitis, Rigas
Local emergence, global expansion: understanding the structural evolution of a bi-lingual national research landscape Journal Article
In: Scientometrics, 2022.
@article{Milia2022,
title = {Local emergence, global expansion: understanding the structural evolution of a bi-lingual national research landscape},
author = {Matias Federico Milia and Ariadna Nebot Giralt and Rigas Arvanitis},
url = {https://link.springer.com/article/10.1007/s11192-022-04403-9},
doi = {10.1007/s11192-022-04403-9},
year = {2022},
date = {2022-06-21},
urldate = {2022-06-21},
journal = {Scientometrics},
abstract = {Research institutions organize their scientific activities in an increasingly diverse landscape. In matters of global interest, research relies on an ever-more cross-disciplinary background, which reveals intriguing questions concerning the local dynamics vs. global audiences. This paper proposes new methodological tools to assess, from a strategic perspective, the evolution of a given research landscape. It relies on the Global Research Institute of Paris’ recent experience, a new interdisciplinary Institute focusing on globalization topics beyond the usual economic meaning. The Institute leans on a broad and diverse set of research units of the Université de Paris and relates to the broad landscape of social sciences in France. This article charts the evolution of French authors’ scientific publications on the Institute’s thematic interests in French and English. It focuses on the structural features of the debate, namely the volume, the underlying historical semantic structure, and its main thematic domains. The paper offers significant evidence to understand knowledge circulation dynamics and links that non-speaking countries’ scientific literature builds with the English one.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Franco, Sebastián Fernández; Graña, Juan M; Flacher, David; Rikap, Cecilia
Producing and using artificial intelligence: What can Europe learn from Siemens’s experience? Journal Article
In: Competition & Change, vol. 0, pp. 1–30, 2022.
@article{Franco2022,
title = {Producing and using artificial intelligence: What can Europe learn from Siemens’s experience?},
author = {Sebastián Fernández Franco and Juan M Graña and David Flacher and Cecilia Rikap},
url = {https://www.researchgate.net/profile/Juan-Grana-2/publication/360759657_Producing_and_using_artificial_intelligence_What_can_Europe_learn_from_Siemens's_experience/links/62a739f955273755ebe9963b/Producing-and-using-artificial-intelligence-What-can-Europe-learn-from-Siemenss-experience.pdf},
doi = {10.1177/10245294221097066},
year = {2022},
date = {2022-06-10},
urldate = {2022-06-10},
journal = {Competition & Change},
volume = {0},
pages = {1–30},
abstract = {This paper examines the innovation strategy of Siemens, a key player in Europe’s digital economy, by performing network and lexical analyses using data derived from Siemens’s patents and scientific publications since 1998. We observe that the company’s innovation efforts evolved from a broader attempt to develop internal information and communication technology (ICT) capabilities – alongside its historical industrial priorities – to a strategy focused on developing artificial intelligence (AI) for sector-specific and niche applications (such as life and medical sciences). As a result, it became dependent on tech giants’ clouds for accessing more general AI services and digital infrastructure. We build on the intellectual monopoly literature focusing on the effects of tech giants on other leading corporations, to analyse Siemens’s experience. By abandoning the development of general ICT and given the emergence of tech giants as digital economy intellectual monopolies, we show that Siemens is risking its technological autonomy towards these big tech companies. Our results provide clues to understand the challenges faced by Europe and its firms in relation to US and Chinese tech giants.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
NotesVIEW ALL
-
Long trends on twitter: intertemporal clusters combining hashtags and terms on Scientometrics, Altmetrics, Bibliometrics and Science Of Science
Long trends on twitter: inter-temporal clusters combining hashtags and terms, for all tweets on Scientometrics, Altmetrics, Bibliometrics and Science Of Science from Jan. 2017 to dec. 2021, on a semester base. Query used to extract tweets: lang:en (Scientometrics OR “ScienceOfScience” OR “Science Of Science” OR “Altmetrics” OR “altmetric” OR “bibliometrics” OR “bibliometric” OR “citation metrics” […]
-
Présenter CorTexT Manager en 2 minutes
Cortext Manager est une application web construite par des chercheurs et par des ingénieurs à destination de chercheurs en sciences humaines et sociales, au plus près des questions portées par les chercheurs qui nous entourent et par notre communauté d’utilisateurs. Cette application web peut produire un grand nombre d’analyses différentes qui ont trait aux champs […]
-
Analysis of the scientific production that mentioned the use of CorText Manager
There are two ways to understand what CorTexT Manager is. The first one is to look at what has been achieved in terms of methods, tools and therefore lines of code. The second one is studied below, by analyzing (here with CorTexT Manager) what academic users have published using… CorTexT Manager. Our study of the […]
-
10 years of CorText Manager v2
It took us more than 10 years to come with CorText Manager version 2 as it is now! Behind the scenes CorText Manager begun with a first version in 2009. More than thirty contributors has worked directly or indirectly on the two versions, year after year. All the ideas, inspirations, all this accumulation of pieces […]
-
RISIS Training: Thematic and spatial analysis of technologies using CorText Manager and RISIS patent database
One of the best CorText Manager training courses was organized and offered by the RISIS project. Here is the program of this training which lasted 3 days: Monday 08/11/21 14h-16h30: Session 1 Session 1a: Introduction on patent analysis (60’) Introductory lecture session • Welcoming introduction (Philippe Larédo) 5’ • Type of patents documents (Antoine Schoen) […]
-
Early 2021 CorText Manager training sessions
CorText organized a series of training workshops on CorText Manager and its methods in January 2021! These workshops were imagined as a staircase with three successive steps : Session 1: Introduction Session 2: Method comparisons Session 3: Research questions and work on user’s corpus For these sessions, the subject chosen for the demonstrations and exercises […]
-
Seminar and workshop during the Summer School of PPGCI IBICT UFRJ, Rio de Janeiro – 03/2020
In March 2020, the LabEx SITES post-doctoral researcher, Ale Abdo, traveled to Rio de Janeiro and São Paulo to organize two trainings on textual analysis and on a new method he developed and integrated at the CorText Infrastructure, as well as to participate in discussions on open and citizen science in Brazil, including the discussion […]
-
A CorText Manager distance training session in the framework of the nanocellulose project – Grenoble, June 2020
For complementing the RISIS access requested (to Leiden publications DB and RISIS patent DB) by the GAEL laboratory (UMR INRAE, CNRS, UGA, INPG), in the framework of a research project on nanocellulose, the CorText team has provided , in June and July 2020, an advanced training on the use of CorText. After setting up of […]
CorText Newsfeed
Want to stay up-to-date with the latest training sessions and developments in our methods and data? We invite you to subscribe to Cortext Newsfeed, our succint and researcher oriented quarterly newsletter.
Read the previous editions of our newsletter