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
Proceedings Articles
2021
Penteado, Bruno Elias; Fornazin, Marcelo; Castro, Leonardo
The Evolution of Artificial Intelligence in Medical Informatics: A Bibliometric Analysis Proceedings Article
In: EPIA 2021: Progress in Artificial Intelligence, pp. 121-133, 2021.
@inproceedings{Penteado2021c,
title = {The Evolution of Artificial Intelligence in Medical Informatics: A Bibliometric Analysis},
author = {Bruno Elias Penteado and Marcelo Fornazin and Leonardo Castro},
url = {https://link.springer.com/chapter/10.1007/978-3-030-86230-5_10},
doi = {10.1007/978-3-030-86230-5_10},
year = {2021},
date = {2021-09-03},
urldate = {2021-09-03},
booktitle = {EPIA 2021: Progress in Artificial Intelligence},
pages = {121-133},
series = {EPIA Conference on Artificial Intelligence},
abstract = {Artificial intelligence (AI) and medical informatics research fields have considerable overlap, with technologies supporting different health issues in different contexts. In this work, we aimed to map out and understand the contributions of AI in medical informatics over time. To that, we applied bibliometric analysis with scientific literature since the 1970s. The production of papers exponentially increased over time, and we found periods with similar characteristics of the content. We also identified different clusters of technologies and applications varying according to the periods and related keywords. We hypothesized some future directions for the use of AI in medical informatics.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Abdelhamid, Sherif; Jalali, Yousef; Katz, Andrew
Factors Associated with Collaboration Networks in ASEE Conference Papers Proceedings Article
In: 2021 ASEE Virtual Annual Conference Content Access, ASEE Conferences, Virtual Conference, 2021, (https://peer.asee.org/37173).
@inproceedings{nokey,
title = {Factors Associated with Collaboration Networks in ASEE Conference Papers},
author = {Sherif Abdelhamid and Yousef Jalali and Andrew Katz},
url = {https://peer.asee.org/factors-associated-with-collaboration-networks-in-asee-conference-papers},
year = {2021},
date = {2021-07-26},
booktitle = {2021 ASEE Virtual Annual Conference Content Access},
publisher = {ASEE Conferences},
address = {Virtual Conference},
abstract = {Research collaborations are essential to advance rigorous scholarship, perform transformative science, and accelerate engineering education innovation. With this in mind, the engineering education community should continue investigating and evaluating the key factors that hinder or promote collaborative research within and across institutions, especially amidst efforts to continue to grow the field. Over the last few decades, research collaborations across institutions have grown significantly—however, few studies have examined the relationship between such collaborations and the institutional characteristics such as ranking, geographic location, or classifications (e.g., the Carnegie Classification of Higher Education Institutions) when studying collaboration networks. Our paper uses social network analysis (SNA) to help fill this gap by examining how some of these institutional characteristics are related to the institutions' collaborations and network positions. Social network analysis has emerged as a useful approach to measure research collaboration by evaluating several types of collaboration networks, including co-authorship networks. In this paper, we consider the institution network. Nodes in this type of network represent institutions, while links represent the pairwise collaboration between two institutions. Each link also has a weight that represents the collaboration frequency. The links form a social space that we can map and analyze to reveal systematic patterns in the broader engineering education community that might otherwise pass unobserved. For this study, we collected information about all papers published between 1996 and 2019 in the American Society for Engineering Education (ASEE) annual conference proceedings. From this dataset, we built the inter-institutional collaboration network and identified structural network properties, connected components, and modularity classes. The network data were then linked to data regarding each institution's (i) Carnegie classification, (ii) rankings based on the 2020 QS World University Rankings, and (iii) geographic location. With this augmented dataset, we were able to answer research questions about factors associated with inter-institutional collaborations through statistical analysis. In doing so, we identify the key patterns, trends, and associations from our networked data. Among the results, we found that a research institution's classification is significantly related to its network positions in the collaboration network, specifically its modularity class. Additionally, we found correlations between the institutions' centrality measures in the network, including the degree centrality, betweenness centrality, and structural holes. Our findings also indicate an association between the institutions' geographical proximity and their research collaborations. Overall, this study provides a lens through which engineering education researchers, faculty members, and administrators can understand the current state of research collaborations within and across institutions. The results can help researchers answer (and raise more) important research questions, support administrators in making decisions on funding and institutional partnerships, and help faculty members design and develop more effective programs that facilitate research collaborations.},
note = {https://peer.asee.org/37173},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
de Souza, Mariana Augusta; Malanski, Priscila Duarte; Dedieu, Benoît; de Alencar Schiavi, Sandra Mara
Agricultural labor in global value chains: a bibliometric review from Web of Science Proceedings Article
In: The International Symposium on Work in Agriculture (ISWA) 2021.
@inproceedings{deSouza2021,
title = {Agricultural labor in global value chains: a bibliometric review from Web of Science},
author = {Mariana Augusta de Souza and Priscila Duarte Malanski and Benoît Dedieu and Sandra Mara de Alencar Schiavi},
url = {https://symposium.inrae.fr/workinagriculture-iswa/content/download/4950/70256/version/1/file/WS1_S2_Souza_Long%20paper.pdf},
year = {2021},
date = {2021-03-29},
urldate = {2021-03-29},
organization = {The International Symposium on Work in Agriculture (ISWA)},
abstract = {Agricultural labor is of great importance as it employs a large part of the population and provides food and other products to everyone around the globe. However, job opportunities in this agricultural sector have been decreasing. In order to change this situation, the rural population seeks to increase productive efficiency and added value in the production stages to enter in agricultural value chains and remain in global markets. However, there are no studies that summarize the advances of the main
contribution of global value chains approach to labor studies in agriculture. To fill this knowledge gap, the aim of the study was to characterize the research domains on agricultural labor in global value chains through a bibliometric review study. Our main findings are that (1) knowledge production on agricultural labor in global value chains is structured in three main research domains:
socioeconomic aspects of labor in value chains; implications of global value chains on labor; technological development of global value chains; (2) the top countries, top institutions, top journals, top authors and most-cited articles are identified. We show for the first time the overview of research on agricultural labor in global value chains indexed in Web of Science, which provides the path of references that can be used as background for further studies. The paper encourages research on new topics and collaborations between authors and institutions for such achievement.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
contribution of global value chains approach to labor studies in agriculture. To fill this knowledge gap, the aim of the study was to characterize the research domains on agricultural labor in global value chains through a bibliometric review study. Our main findings are that (1) knowledge production on agricultural labor in global value chains is structured in three main research domains:
socioeconomic aspects of labor in value chains; implications of global value chains on labor; technological development of global value chains; (2) the top countries, top institutions, top journals, top authors and most-cited articles are identified. We show for the first time the overview of research on agricultural labor in global value chains indexed in Web of Science, which provides the path of references that can be used as background for further studies. The paper encourages research on new topics and collaborations between authors and institutions for such achievement.
Masters Theses
2021
González, Yuri Shirley Saldarriaga
The co-creation of antagonism : a lexical analysis of legal mobilizations over abortion in Colombia Masters Thesis
SÉNECA - Universidad de los Andes, 2021.
@mastersthesis{González2021,
title = {The co-creation of antagonism : a lexical analysis of legal mobilizations over abortion in Colombia},
author = {Yuri Shirley Saldarriaga González},
url = {http://hdl.handle.net/1992/53535
https://repositorio.uniandes.edu.co/bitstream/handle/1992/53535/24514.pdf?sequence=1&isAllowed=y},
year = {2021},
date = {2021-11-03},
pages = {202143},
school = {SÉNECA - Universidad de los Andes},
abstract = {Pro-life and pro-choice movements seemingly pursue drastically different objectives in the debate over abortion. Using the case of the legal mobilization before the Colombian Constitutional Court, I ask what happens when these two movements meet in the same institutional arena. To answer this question, I use an original dataset of legal files and apply to it distant reading techniques. Content and temporal analysis of judicial arguments over abortion reveals several counter-intuitive results. Contrary to a common assumption in the literature on antagonistic social movements, I show that the interaction between the two movements was not simply reactive. Instead, it led to the accidental co-creation of a common set of concepts, which gradually allowed each movement to position itself more clearly with respect to its rival.
Los movimientos pro-vida y pro-elección aparentemente persiguen objetivos drásticamente diferentes en el debate sobre el aborto. Utilizando el caso de la movilización judicial ante la Corte Constitucional de Colombia, pregunto qué sucede cuando estos dos movimientos se encuentran en un mismo escenario institucional. Para responder a esta pregunta, utilizo un conjunto de datos original de archivos legales y le aplico técnicas de lectura a distancia. El análisis temporal y de contenido de los argumentos judiciales sobre el aborto revela varios resultados contrarios a la intuición. Contrariamente a una suposición común en la literatura sobre movimientos sociales antagónicos, muestro que la interacción entre los dos movimientos no fue simplemente reactiva. En cambio, condujo a la co-creación accidental de un conjunto común de conceptos, lo que gradualmente permitió que cada movimiento se posicionara más claramente con respecto a su rival.},
keywords = {},
pubstate = {published},
tppubtype = {mastersthesis}
}
Los movimientos pro-vida y pro-elección aparentemente persiguen objetivos drásticamente diferentes en el debate sobre el aborto. Utilizando el caso de la movilización judicial ante la Corte Constitucional de Colombia, pregunto qué sucede cuando estos dos movimientos se encuentran en un mismo escenario institucional. Para responder a esta pregunta, utilizo un conjunto de datos original de archivos legales y le aplico técnicas de lectura a distancia. El análisis temporal y de contenido de los argumentos judiciales sobre el aborto revela varios resultados contrarios a la intuición. Contrariamente a una suposición común en la literatura sobre movimientos sociales antagónicos, muestro que la interacción entre los dos movimientos no fue simplemente reactiva. En cambio, condujo a la co-creación accidental de un conjunto común de conceptos, lo que gradualmente permitió que cada movimiento se posicionara más claramente con respecto a su rival.
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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