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
Carrillo, Mercedes García; Testoni, Federico; Gagnon, Marc-André; Rikap, Cecilia; Blaustein, Matías
Academic dependency: the influence of the prevailing international biomedical research agenda on Argentina’s CONICET Journal Article
In: Heliyon, vol. 8, 2022.
@article{Carrillo2022,
title = {Academic dependency: the influence of the prevailing international biomedical research agenda on Argentina’s CONICET},
author = {Mercedes García Carrillo and Federico Testoni and Marc-André Gagnon and Cecilia Rikap and Matías Blaustein},
url = {https://linkinghub.elsevier.com/retrieve/pii/S2405844022027694
https://www.cell.com/action/showPdf?pii=S2405-8440%2822%2902769-4},
doi = {https://doi.org/10.1016/j.heliyon.2022.e11481},
year = {2022},
date = {2022-09-01},
urldate = {2022-09-01},
journal = {Heliyon},
volume = {8},
abstract = {Background
The prevailing health and biomedical sciences (HBMS) research agenda, not only determined by leading academic institutions but also by large pharmaceutical companies, has been shown to prioritize the exploration of novel pharmacological interventions over the study of the socio-environmental factors influencing illness onset and progression. The aim of this investigation is to quantitatively explore whether and to what extent the prevailing international HBMS research agenda and the key actors setting this agenda influence research in non-core countries.
Methods
We used the Web of Science database and the CorText platform to proxy the HBMS research agenda of a prestigious research institution from Latin America: Argentina’s National Research Council (CONICET). We conducted a bibliometric and lexical analysis of 16,309 HBMS academic articles whereby CONICET was among the authors' affiliations. The content of CONICET’s agenda was represented through co-occurrence network maps of the most frequent concatenation of terms found in titles, keywords, and abstracts. We compared our findings with previous reports on the international HBMS research agenda.
Results
In line with the results previously reported for the prevailing international agenda, we found that terms linked to molecular biology and cancer research hegemonize CONICET’s HBMS research agenda, whereas terms connecting HBMS research with socio-environmental cues are marginal. However, we also found differences with the international agenda: CONICET's HBMS agenda shows a marginal presence of terms linked to translational medicine, while terms associated with categories such as pathogens, plant research, agrobiotechnology, and food industry are more represented than in the prevailing agenda.
Conclusions
CONICET’s HBMS research agenda shares topics, priorities, and methodologies with the prevailing HBMS international research agenda. However, CONICET's HBMS research agenda is internally heterogeneous, appearing to be mostly driven by a combination of elements that not only reflect academic dependency (the adoption of the prevailing research agenda by non-core research institutions) but also local economic determinants associated with Argentina’s place in the international division of labor as an exporter of primary goods.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
The prevailing health and biomedical sciences (HBMS) research agenda, not only determined by leading academic institutions but also by large pharmaceutical companies, has been shown to prioritize the exploration of novel pharmacological interventions over the study of the socio-environmental factors influencing illness onset and progression. The aim of this investigation is to quantitatively explore whether and to what extent the prevailing international HBMS research agenda and the key actors setting this agenda influence research in non-core countries.
Methods
We used the Web of Science database and the CorText platform to proxy the HBMS research agenda of a prestigious research institution from Latin America: Argentina’s National Research Council (CONICET). We conducted a bibliometric and lexical analysis of 16,309 HBMS academic articles whereby CONICET was among the authors' affiliations. The content of CONICET’s agenda was represented through co-occurrence network maps of the most frequent concatenation of terms found in titles, keywords, and abstracts. We compared our findings with previous reports on the international HBMS research agenda.
Results
In line with the results previously reported for the prevailing international agenda, we found that terms linked to molecular biology and cancer research hegemonize CONICET’s HBMS research agenda, whereas terms connecting HBMS research with socio-environmental cues are marginal. However, we also found differences with the international agenda: CONICET's HBMS agenda shows a marginal presence of terms linked to translational medicine, while terms associated with categories such as pathogens, plant research, agrobiotechnology, and food industry are more represented than in the prevailing agenda.
Conclusions
CONICET’s HBMS research agenda shares topics, priorities, and methodologies with the prevailing HBMS international research agenda. However, CONICET's HBMS research agenda is internally heterogeneous, appearing to be mostly driven by a combination of elements that not only reflect academic dependency (the adoption of the prevailing research agenda by non-core research institutions) but also local economic determinants associated with Argentina’s place in the international division of labor as an exporter of primary goods.
Malanski, Priscila Duarte; de Alencar Schiavi, Sandra Mara; Dedieu, Benoît; Damasceno, Julio Cesar
International research on labor in agri-food value chains: A bibliometric review from web of science Journal Article
In: Frontiers in Sustainable Food Systems, vol. 6, pp. 852178, 2022.
@article{Malanski2022b,
title = {International research on labor in agri-food value chains: A bibliometric review from web of science},
author = {Priscila Duarte Malanski and Sandra Mara de Alencar Schiavi and Benoît Dedieu and Julio Cesar Damasceno},
url = {https://hal.archives-ouvertes.fr/hal-03833144/document},
doi = {https://dx.doi.org/10.3389/fsufs.2022.852178},
year = {2022},
date = {2022-09-01},
urldate = {2022-09-01},
journal = {Frontiers in Sustainable Food Systems},
volume = {6},
pages = {852178},
abstract = {Value chains are an important driver for the current labor dynamics in the agri-food sector, and agri-food value chain sustainability strongly depends on decent work conditions. An increasing literature body have been investigated the interactions between chain agents and how it impacted labor issues. Our aim was to map the scientific landscape of the scientific knowledge on labor in agri-food value chains. We performed a bibliometric review of 343 articles indexed in the Web of Science based on descriptive and network analysis of articles metadata, which covered authors, journals, citation times, keywords and countries. We showed that labor in agri-food value chains has an international audience, despite that knowledge production was largely built by a restraint leading scientific network. Overall, the scientific knowledge is organized into four main research domains on labor in agri-food value chains: (1) labor governance in global value chains through standards, (2) employment in value chains and impacts on socioeconomic conditions of rural areas, (3) gender issues and value chains, (4) labor and upgrading in global value chains. The controversies in the international literature regarding labor issues in the agri-food value chains, and blind spots of current research are discussed.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Yuan, Yue; Liu, Kan; Wang, Yanli
Reviewing topics of COVID-19 news articles: case study of CNN and China daily Journal Article
In: Aslib Journal of Information Management, vol. 75, iss. 2, pp. 407-429, 2022, ISSN: 2050-3806.
@article{Yuan2022,
title = {Reviewing topics of COVID-19 news articles: case study of CNN and China daily},
author = {Yue Yuan and Kan Liu and Yanli Wang},
url = {https://www.emerald.com/insight/content/doi/10.1108/AJIM-05-2022-0264/full/html},
doi = {/10.1108/AJIM-05-2022-0264},
issn = {2050-3806},
year = {2022},
date = {2022-08-29},
journal = {Aslib Journal of Information Management},
volume = {75},
issue = {2},
pages = {407-429},
abstract = {
Purpose
The purpose of this study is to analyze the topics of COVID-19 news articles for better obtaining the relationship among and the evolution of news topics, helping to manage the infodemic from a quantified perspective.
Design/methodology/approach
To analyze COVID-19 news articles explicitly, this paper proposes a prism architecture. Based on epidemic-related news on China Daily and CNN, this paper identifies the topics of the two news agencies, elucidates the relationship between and amongst these topics, tracks topic changes as the epidemic progresses and presents the results visually and compellingly.
Findings
The analysis results show that CNN has a more concentrated distribution of topics than China Daily, with the former focusing on government-related information, and the latter on medical. Besides, the pandemic has had a big impact on CNN and China Daily's reporting preference. The evolution analysis of news topics indicates that the dynamic changes of topics have a strong relationship with the pandemic process.
Originality/value
This paper offers novel perspectives to review the topics of COVID-19 news articles and provide new understandings of news articles during the initial outbreak. The analysis results expand the scope of infodemic-related studies.
},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Purpose
The purpose of this study is to analyze the topics of COVID-19 news articles for better obtaining the relationship among and the evolution of news topics, helping to manage the infodemic from a quantified perspective.
Design/methodology/approach
To analyze COVID-19 news articles explicitly, this paper proposes a prism architecture. Based on epidemic-related news on China Daily and CNN, this paper identifies the topics of the two news agencies, elucidates the relationship between and amongst these topics, tracks topic changes as the epidemic progresses and presents the results visually and compellingly.
Findings
The analysis results show that CNN has a more concentrated distribution of topics than China Daily, with the former focusing on government-related information, and the latter on medical. Besides, the pandemic has had a big impact on CNN and China Daily's reporting preference. The evolution analysis of news topics indicates that the dynamic changes of topics have a strong relationship with the pandemic process.
Originality/value
This paper offers novel perspectives to review the topics of COVID-19 news articles and provide new understandings of news articles during the initial outbreak. The analysis results expand the scope of infodemic-related studies.
Bai, Yang; Li, Hongxiu
Mapping the evolution of e-commerce research through co-word analysis: 2001–2020 Journal Article
In: Electronic Commerce Research and Applications, vol. 55, pp. 101190, 2022, ISSN: 1567-4223.
@article{Bai2022,
title = {Mapping the evolution of e-commerce research through co-word analysis: 2001–2020},
author = {Yang Bai and Hongxiu Li},
url = {https://www.sciencedirect.com/science/article/pii/S1567422322000746},
doi = {/10.1016/j.elerap.2022.101190},
issn = {1567-4223},
year = {2022},
date = {2022-08-17},
urldate = {2022-08-17},
journal = {Electronic Commerce Research and Applications},
volume = {55},
pages = {101190},
abstract = {This current study examines how research themes and trends have developed in the e-commerce field, aiming to provide a comprehensive understanding of e-commerce research based on prior literature. To answer this question, the current study applied a bibliometric method, word co-occurrence (co-word) analysis, to identify core research themes and trends in the e-commerce field, based on 17,416 author-provided keywords collected from 3,284 academic articles published between 2001 and 2020 in seven major journals in e-commerce field. Specifically, the data were analyzed based on two periods: 2001–2010 and 2011–2020. We found that the research themes in the e-commerce field have evolved alongside technology’s development and diffusion. Some research themes, such as recommended system and eGovernment, have persisted as important research themes and studied continuously over the 20 years studied. Some research themes studied in 2001–2010, such as B2C and XML, disappeared in 2011–2020, whereas some new research topics, such as cloud computing, mobile technologies, artificial intelligence, and machine learning, emerged in recent years. This study provides a good understanding of e-commerce research’s evolution, as well as useful suggestions to direct future research by scholars in the e-commerce field.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
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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