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
2021
Testoni, Federico E.; Carrillo, Mercedes García; Gagnon, Marc-André; Rikap, Cecilia; Blaustein, Matías
Whose shoulders is health research standing on? Determining the key actors and contents of the prevailing biomedical research agenda Journal Article
In: PLoS ONE, 2021.
@article{Testoni2021,
title = {Whose shoulders is health research standing on? Determining the key actors and contents of the prevailing biomedical research agenda},
author = {Federico E. Testoni and Mercedes García Carrillo and Marc-André Gagnon and Cecilia Rikap and Matías Blaustein
},
editor = {Quinn Grundy},
url = {https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0249661},
doi = { https://doi.org/10.1371/journal.pone.0249661},
year = {2021},
date = {2021-04-07},
urldate = {2021-04-07},
journal = {PLoS ONE},
abstract = {Conflicts of interest in biomedical research can influence research results and drive research agendas away from public health priorities. Previous agenda-setting studies share two shortfalls: they only account for direct connections between academic institutions and firms, as well as potential bias based on researchers’ personal beliefs. This paper’s goal is to determine the key actors and contents of the prevailing health and biomedical sciences (HBMS) research agenda, overcoming these shortfalls.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Kabudi, Tumaini; Pappas, Ilias; Olsen, Dag Håkon
AI-enabled adaptive learning systems: A systematic mapping of the literature Journal Article
In: Computers and Education: Artificial Intelligence, vol. 2, pp. 100017, 2021, ISSN: 2666-920X.
@article{Kabudi2021,
title = {AI-enabled adaptive learning systems: A systematic mapping of the literature},
author = {Tumaini Kabudi and Ilias Pappas and Dag Håkon Olsen},
url = {https://www.sciencedirect.com/science/article/pii/S2666920X21000114},
doi = {https://doi.org/10.1016/j.caeai.2021.100017},
issn = {2666-920X},
year = {2021},
date = {2021-03-31},
urldate = {2021-03-31},
journal = {Computers and Education: Artificial Intelligence},
volume = {2},
pages = {100017},
abstract = {Mobile internet, cloud computing, big data technologies, and significant breakthroughs in Artificial Intelligence (AI) have all transformed education. In recent years, there has been an emergence of more advanced AI-enabled learning systems, which are gaining traction due to their ability to deliver learning content and adapt to the individual needs of students. Yet, even though these contemporary learning systems are useful educational platforms that meet students’ needs, there is still a low number of implemented systems designed to address the concerns and problems faced by many students. Based on this perspective, a systematic mapping of the literature on AI-enabled adaptive learning systems was performed in this work. A total of 147 studies published between 2014 and 2020 were analysed. The major findings and contributions of this paper include the identification of the types of AI-enabled learning interventions used, a visualisation of the co-occurrences of authors associated with major research themes in AI-enabled learning systems and a review of common analytical methods and related techniques utilised in such learning systems. This mapping can serve as a guide for future studies on how to better design AI-enabled learning systems to solve specific learning problems and improve users’ learning experiences.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Larregue, Julien; Lavau, Sylvain; Khelfaoui, Mahdi
In: Zilsel, vol. 1, no. 8, pp. 104-143, 2021.
@article{Larregue2021,
title = {La sociobiologie est morte, vive la psychologie évolutionniste ! Le rôle de l’ambiguïté et du travail généalogique dans la transformation des spécialités scientifiques},
author = {Julien Larregue and Sylvain Lavau and Mahdi Khelfaoui},
url = {https://www.cairn.info/revue-zilsel-2021-1-page-104.htm},
doi = {10.3917/zil.008.0104},
year = {2021},
date = {2021-03-03},
urldate = {2021-03-03},
journal = {Zilsel},
volume = {1},
number = {8},
pages = {104-143},
abstract = {L’apparition d’une nouvelle spécialité scientifique donne fréquemment lieu à la résistance plus ou moins active de celles et ceux qui ont le sentiment d’être floués par une telle opération. Bien que ces oppositions puissent se justifier par le souhait de conserver le monopole scientifique sur un objet x ou une problématique y (et sur les profits matériels et symboliques qui leur sont associés), elles ont aussi souvent pour origine une incompréhension proprement scientifique. Les tenants de la nouvelle spécialité sont alors accusés par les scientifiques établis de réinventer la roue, d’utiliser un nouveau nom pour une ancienne manière de faire. Ces critiques sont d’autant plus faciles à émettre que l’innovation est souvent le fait des jeunes générations, qui, recevant le soutien de quelques « anciens », se placent alors en opposition à leurs aînés.
Ces phénomènes sont bien documentés en sociologie des sciences, et les facteurs sociaux et cognitifs qui conduisent à l’apparition de nouvelles spécialités le sont tout autant. L’objet de cet article n’est pas de revenir sur cette littérature foisonnante mais de s’intéresser à un problème qui a été assez peu étudié jusqu’à présent : la succession, dans un temps relativement court, de spécialités qui semblent parfois se confondre sur le plan scientifique et qui partagent des acteurs communs. Pour ce faire, nous nous concentrerons sur le cas de la psychologie évolutionniste. On considère généralement que la psychologie évolutionniste est la science du comportement humain historiquement issue du rapprochement de la psychologie expérimentale, des sciences du comportement animal et des sciences cognitives à la fin des années 1980. Elle se distinguerait du reste du champ de la psychologie par la place qu’elle confère dans ses fondements conceptuels à la théorie de l’évolution par la sélection naturelle et sexuelle…},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Ces phénomènes sont bien documentés en sociologie des sciences, et les facteurs sociaux et cognitifs qui conduisent à l’apparition de nouvelles spécialités le sont tout autant. L’objet de cet article n’est pas de revenir sur cette littérature foisonnante mais de s’intéresser à un problème qui a été assez peu étudié jusqu’à présent : la succession, dans un temps relativement court, de spécialités qui semblent parfois se confondre sur le plan scientifique et qui partagent des acteurs communs. Pour ce faire, nous nous concentrerons sur le cas de la psychologie évolutionniste. On considère généralement que la psychologie évolutionniste est la science du comportement humain historiquement issue du rapprochement de la psychologie expérimentale, des sciences du comportement animal et des sciences cognitives à la fin des années 1980. Elle se distinguerait du reste du champ de la psychologie par la place qu’elle confère dans ses fondements conceptuels à la théorie de l’évolution par la sélection naturelle et sexuelle…
Zhou, Yaolin; Bai, Yun; Zhao, Yue
Topic structure and evolution patterns of documentary heritage preservation and conservation research in China Journal Article
In: Library Hi Tech, 2021, ISSN: 0737-8831.
@article{Zhou2021,
title = {Topic structure and evolution patterns of documentary heritage preservation and conservation research in China},
author = {Yaolin Zhou and Yun Bai and Yue Zhao},
url = {https://www.emerald.com/insight/content/doi/10.1108/LHT-08-2020-0184/full/html},
doi = {https://doi.org/10.1108/LHT-08-2020-0184},
issn = {0737-8831},
year = {2021},
date = {2021-02-22},
urldate = {2021-02-22},
journal = {Library Hi Tech},
abstract = {This study aims to identify the prominent topics, the distribution and association characteristics of topics and the topic evolutionary trends of Documentary Heritage Preservation and Conservation (DHPAC) research in China.
Keywords of relevant papers in China National Knowledge Infrastructure (CNKI) were extracted as the data source in this study. First, frequency and co-occurrence of keywords of the selected papers were obtained by using SATI. Second, co-word network indicators were calculated with the Pajek software. Then, VOSviewer was applied to optimize the visualization of the sub-communities. Finally, a topics evolution map of this research field was implemented by CorTexT.
The research topics of DHPAC research in China were unbalanced but distinct. Topics of DHPAC research in China possessed inconspicuous orientation and consistency. The core topics had less influence on the overall network. A research system had formed with archival conservation and ancient books conservation as the core research directions. Research in this field had formed four continuous evolutionary paths about ancient books conservation, salvage conservation, archival conservation and archives conservation technology science with topics fusion and differentiation coexisting. Attentions on “ancient books conservation”, “paper relics conservation”, “electronic record”, “digitization”, “minority”, “documents in the republic of China” had increased during the past two decades and new hot topics of DHPAC research kept appearing in China.
This study synthesized and analyzed the research results of DHPAC research in China from a more comprehensive perspective and revealed the topic structure and longitudinal evolution process intuitively with co-word analysis and social network analysis, which can assist researchers to improve research systematization, discover new research directions and seek cooperative research path.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Keywords of relevant papers in China National Knowledge Infrastructure (CNKI) were extracted as the data source in this study. First, frequency and co-occurrence of keywords of the selected papers were obtained by using SATI. Second, co-word network indicators were calculated with the Pajek software. Then, VOSviewer was applied to optimize the visualization of the sub-communities. Finally, a topics evolution map of this research field was implemented by CorTexT.
The research topics of DHPAC research in China were unbalanced but distinct. Topics of DHPAC research in China possessed inconspicuous orientation and consistency. The core topics had less influence on the overall network. A research system had formed with archival conservation and ancient books conservation as the core research directions. Research in this field had formed four continuous evolutionary paths about ancient books conservation, salvage conservation, archival conservation and archives conservation technology science with topics fusion and differentiation coexisting. Attentions on “ancient books conservation”, “paper relics conservation”, “electronic record”, “digitization”, “minority”, “documents in the republic of China” had increased during the past two decades and new hot topics of DHPAC research kept appearing in China.
This study synthesized and analyzed the research results of DHPAC research in China from a more comprehensive perspective and revealed the topic structure and longitudinal evolution process intuitively with co-word analysis and social network analysis, which can assist researchers to improve research systematization, discover new research directions and seek cooperative research path.
NotesVIEW ALL
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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” […]
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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 […]
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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 […]
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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 […]
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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) […]
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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 […]
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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 […]
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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 […]
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