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
Masters Theses
2021
Søltoft, Johan Irving
The Pandemic Turn? A case study of The Digitalizing of Everyday Life Masters Thesis
Aalborg University Copenhagen, 2021.
@mastersthesis{Søltoft2021,
title = {The Pandemic Turn? A case study of The Digitalizing of Everyday Life},
author = {Johan Irving Søltoft},
url = {https://projekter.aau.dk/projekter/files/415131424/_The_Pandemic_Turn____A_Case_Study_of__The_Digitalization_of_Everyday_Life__.pdf
https://projekter.aau.dk/projekter/da/studentthesis/the-pandemic-turn-a-case-study-of-the-digitalizing-of-everyday-life(ea7b4e42-9c56-46c0-8a8e-1cbbbffe6df3).html},
year = {2021},
date = {2021-06-19},
urldate = {2021-06-19},
school = {Aalborg University Copenhagen},
abstract = {This dissertation will be a study of how Corona has affected social science practices. To investigate this, the Danish “Digitalization of Everyday Life” project initiated during the first Covid-19 lockdown in Denmark, will serve as a case study, inspired by Bent Flybjerg and analysed with theoretical inspiration from Bruno Latour and ANT as a way of studying “science in the making”.
Through the “Digitalization of Everyday Life” project, it will be described how the Covid-19 pandemic led to new methods being developed and how earlier methods are being re-thought, such as the archive. This process can be described by documenting how different actors allied themselves by forming new networks, both on a macro as well as a micro scale.
To investigate how the Covid-19 pandemic has led to various topics within social science that were previously “black boxed” to suddenly become re-opened. This dissertation will therefore examine whether a paradigmatic shift in social science has occurred, a pandemic turn?},
keywords = {},
pubstate = {published},
tppubtype = {mastersthesis}
}
Through the “Digitalization of Everyday Life” project, it will be described how the Covid-19 pandemic led to new methods being developed and how earlier methods are being re-thought, such as the archive. This process can be described by documenting how different actors allied themselves by forming new networks, both on a macro as well as a micro scale.
To investigate how the Covid-19 pandemic has led to various topics within social science that were previously “black boxed” to suddenly become re-opened. This dissertation will therefore examine whether a paradigmatic shift in social science has occurred, a pandemic turn?
Béchet, Nathalie
2021.
@mastersthesis{Béchet2021,
title = {#IamNotaVirus: text mining analysis of the blame phenomenon and anti-asian racism on Twitter amid the Covid-19 pandemic Observation of the narrative diversity generated by hashtag activism in France},
author = {Nathalie Béchet},
url = {https://www.researchgate.net/publication/349883313_IamNotaVirus_text_mining_analysis_of_the_blame_phenomenon_and_anti-asian_racism_on_Twitter_amid_the_Covid-19_pandemic_Observation_of_the_narrative_diversity_generated_by_hashtag_activism_in_France},
doi = {http://dx.doi.org/10.13140/RG.2.2.14680.21761},
year = {2021},
date = {2021-05-01},
urldate = {2021-05-01},
abstract = {The hashtag #JeNeSuisPasUnVirus (#IamNotAVirus) was coined in January 2020 during the outbreak of coronavirus (COVID-19) in China as anti-Asian racist incidents gained visibility nourished by the idea that if the pandemic originated in Asia, Asian people were infected and responsible for the spread of the virus. This hashtag reached a peak on January 28th before decreasing, following the shifting curve of the blame phenomenon (Atlani-Duault et al., 2020). Certainly anti-Asian racism is not a new phenomenon, but the Covid-19 pandemic came as an enhancer for xenophobic acts and hate speeches. As Asian communities informally got together online via hashtag activism to denounce persecutions they face, we could observe how the recurring blame process amid health crises, has been worded around ethnic and cultural stigmata. The many comparisons Twitter users from our corpus tended to make with anti-Muslim sentiments in France showed just how the phenomenon at stake here is the one of using a nation's minorities as a scapegoat for local issues. This 2020 epidemic and its associated Twitter hashtag #JeNeSuisPasUnVirus, are just a salience that ought to be grasped by researchers to scrutinize the plurality of narratives around anti-Asian racism and observe how the blame phenomenon works. The present study aims to do so by applying text mining methods to thousands of tweets containing this precise hashtag from the end of January to the end of March 2020.
The present article stands for a Master Thesis presented in order to obtain a M.A. in Data Sciences and Digital Sociology from Gustave Eiffel University under the supervision of Digital Sociology associate professor Bilel Benbouzid. It hasn't been published.},
keywords = {},
pubstate = {published},
tppubtype = {mastersthesis}
}
The present article stands for a Master Thesis presented in order to obtain a M.A. in Data Sciences and Digital Sociology from Gustave Eiffel University under the supervision of Digital Sociology associate professor Bilel Benbouzid. It hasn't been published.
Schüler, Jimmy
De l’innovation pour le profit, aux profits sans innovation : une monographie de l’entreprise pharmaceutique Novartis Masters Thesis
Université de Genève, 2021.
@mastersthesis{Schüler2021,
title = {De l’innovation pour le profit, aux profits sans innovation : une monographie de l’entreprise pharmaceutique Novartis},
author = {Jimmy Schüler},
editor = {Cédric Michel Durand},
url = {https://archive-ouverte.unige.ch/unige:148424
https://archive-ouverte.unige.ch/unige:148424/ATTACHMENT01},
year = {2021},
date = {2021-01-01},
school = {Université de Genève},
abstract = { Notre travail propose une analyse détaillée des politiques de profit chez Novartis. Nous revenons sur ses différents modèles de production : du modèle des blockbusters à celui des traitements de niche. Nous analysons les mécanismes qui structurent la production de son innovations tels que l’externalisation de phases cliniques ou l’acquisition tardive de traitements issus de sa périphérie. Un processus de monopolisation de l’innovation permise par la position dominante du groupe au sein du secteur pharmaceutique.},
keywords = {},
pubstate = {published},
tppubtype = {mastersthesis}
}
Online
2021
Saubin, Méline; Louet, Clémentine; Bousset, Lydia; Fabre, Frédéric; Fudal, Isabelle; Grognard, Frédéric; Mailleret, Ludovic; Stoeckel, Solenn; Touzeau, Suzanne; Petre, Benjamin; Halkett, Fabien
2021, visited: 01.10.2021.
@online{Saubin2021,
title = {Improving the design of sustainable crop protection strategies thanks to population genetics concepts},
author = {Méline Saubin and Clémentine Louet and Lydia Bousset and Frédéric Fabre and Isabelle Fudal and Frédéric Grognard and Ludovic Mailleret and Solenn Stoeckel and Suzanne Touzeau and Benjamin Petre and Fabien Halkett},
url = {https://hal.archives-ouvertes.fr/hal-03394837},
doi = {10.1111/mec.16634},
year = {2021},
date = {2021-10-01},
urldate = {2021-10-01},
abstract = {Cropping genetically resistant plants allows to control pathogen populations while substantially reducing chemical inputs. However, resistances are often quickly defeated by pathogens. In this context, how can sustainable crop protection be achieved? This question has shaped the debate about the durability of genetic resistances in agriculture for decades, and, despite active research efforts, has not been satisfactorily answered yet. Here we demonstrate from a bibliography analysis that the research field of resistance durability evolved into two non-overlapping directions: (i) the subfield of 'epidemiology and evolution', which aims to forecast and explain pathogen population dynamics; (ii) the subfield of 'molecular interactions', which studies the molecular processes involved in the overcoming of resistance and in the dialogue between plants and pathogens. After reviewing briefly these two subfields and the gap between the corresponding research communities, we propose strategies to merge these approaches into one by using the concepts of population genetics. Ultimately, such new eco-evolutionary studies could be used to determine the best strategy for the deployment of genetically resistant cultivars by integrating, from gene to landscape, all relevant and contextual biological knowledge into sound theoretical models.},
keywords = {},
pubstate = {published},
tppubtype = {online}
}
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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