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
Johanes, Mikhael
Expanding agency: The mapping of architectural design discourse in Indonesia's academic publications Journal Article
In: ARSNET, 2021, ISSN: ISSN 2777-0710.
@article{Johanes2021,
title = {Expanding agency: The mapping of architectural design discourse in Indonesia's academic publications},
author = {Mikhael Johanes},
url = {https://architecture.ui.ac.id/arsnet/index.php/ojs/article/view/1/1},
doi = {https://doi.org/10.7454/arsnet.v1i1.1 },
issn = {ISSN 2777-0710},
year = {2021},
date = {2021-04-30},
urldate = {2021-04-30},
journal = {ARSNET},
abstract = {Architectural academic publications are essentials elements in defining and establishing the architecture academic discourses in institutional context. A critical, retrospective reading of past and present architectural publications could reveal the current development of the field and provide an empirical basis for future actions. This paper digitally maps the notion of ‘design’ within the published articles in Indonesian architectural journals from the past decade to understand the current situation and present the country’s challenges in developing the architectural design discourse. Through consideration of architectural academic journals’ role in establishing the field’s boundary, a bibliometric mapping was performed on a corpus of 1031 abstracts collected from prominent Indonesian architectural journals. This paper reflects on the extracted key terms from the corpus through different mapping strategies using bibliometric analysis methods. From the mapping findings, and by extending the notion of design as a transformative agency in architecture, this paper retrospectively suggests a more diverse, creative, and provocative development of design discourse in Indonesian architectural academic scholarship.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
León-Vargas, Fabian; Oviedo, Jineth Andrea Arango; Wandurraga, Héctor Javier Luna
Two Decades of Research in Artificial Pancreas: Insights from a Bibliometric Analysis Journal Article
In: Journal of Diabetes Science and Technology, vol. 0, no. 0, pp. 19322968211005500, 2021.
@article{León-Vargas2021,
title = {Two Decades of Research in Artificial Pancreas: Insights from a Bibliometric Analysis},
author = {Fabian León-Vargas and Jineth Andrea Arango Oviedo and Héctor Javier Luna Wandurraga},
url = {https://doi.org/10.1177/19322968211005500},
doi = {10.1177/19322968211005500},
year = {2021},
date = {2021-04-15},
urldate = {2021-04-15},
journal = {Journal of Diabetes Science and Technology},
volume = {0},
number = {0},
pages = {19322968211005500},
abstract = {Artificial pancreas is a well-known research topic devoted to achieving better glycemic outcomes that has been attracting increasing attention over the years. However, there is a lack of systematic, chronological, and synthesizing studies that show the background of the knowledge generation in this field. This study implements a bibliometric analysis to recognize the main documents, type of publications, research categories, countries, keywords, organizations, and authors related to this topic.Methods:Web of Science core collection database was accessed from 2000 to 2020 in order to select high-quality scientific documents based on a specific search query. Bibexcel, MS Excel, Power BI, R-Studio, VOSviewer, and CorText software were used for a descriptive and network analysis based on the local database obtained. Bibliometric parameters as the h-index, frequencies, co-authorship and co-ocurrences were computed.Results:A total of 756 documents were included that show a growing scientific production on this topic with an increasing contribution from engineering. Outstanding authors, organizations, and countries were identified. An analysis of trends in research was conducted according to the scientific categories of the Web of Science database to identify the main research interests of the last 2 decades and the emerging areas with greater prominence in the coming years. A keyword network analysis allowed to identify the main stages in the development of the AP research over time.Conclusions:Results reveal a comprehensive background of the knowledge generation for the AP topic during the last 2 decades, which has been strengthened with international collaborations and a remarkable interdisciplinarity between endocrinology and engineering, giving rise to a growing number of research areas over time, where computer science and medical informatics stand out as the main emerging research areas.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
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}
}
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