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
Lundvall, Bengt-Åke; Rikap, Cecilia
China's catching-up in artificial intelligence seen as a co-evolution of corporate and national innovation systems Journal Article
In: Research Policy, vol. 51, no. 1, pp. 104395, 2022, ISSN: 0048-7333.
@article{Lundvall2022,
title = {China's catching-up in artificial intelligence seen as a co-evolution of corporate and national innovation systems},
author = {Bengt-Åke Lundvall and Cecilia Rikap},
url = {https://www.sciencedirect.com/science/article/pii/S0048733321001918},
doi = {https://doi.org/10.1016/j.respol.2021.104395},
issn = {0048-7333},
year = {2022},
date = {2022-01-01},
urldate = {2022-01-01},
journal = {Research Policy},
volume = {51},
number = {1},
pages = {104395},
abstract = {Inspired by Christopher Freeman's work on how radical technical change opens up for shifts in world leadership and on the role of innovation systems in this process, this paper explores China's emergence as a lead country in artificial intelligence as reflecting a co-evolution of Corporate and National Innovation Systems. Taking Freeman's (1987) work on Japan as our lead, we focus on the domestic interaction within and on the openness of China's national innovation system. To follow up on his prediction of the increasing importance of big companies as network leaders, we introduce the concept “corporate innovation system” with special attention to two Chinese tech giants: Alibaba and Tencent.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
朱晓峰,; 锐, 葛; 勋, 蒋
国外政府数据开放研究的主题关联结构与演化态势 Journal Article
In: 情报科学, vol. 39, no. 1, pp. 109-120, 2022.
@article{朱晓峰2022,
title = {国外政府数据开放研究的主题关联结构与演化态势},
author = {朱晓峰 and 葛 锐 and 蒋 勋},
editor = {情报科学},
url = {http://journal12.magtechjournal.com/jwk3_qbkx/CN/Y2022/V39/I1/109},
year = {2022},
date = {2022-01-01},
urldate = {2022-01-01},
journal = {情报科学},
volume = {39},
number = {1},
pages = {109-120},
abstract = {摘要: 【目的/意义】数字时代“开放政府数据”热潮产出了丰硕成果,对其研究主题结构和演化脉络进行全面、精 准的可视化揭示,有助于进一步丰富和完善该领域研究,科学地指导我国实践开展。【方法/过程】以 2000-2019 年 WOS数据库中“开放政府数据”主题文献为基础,借助新型SLM算法探测主题社区,梳理研究主题分布;同时嵌入 SNA方法,引入“传导率”指标定量评估主题社区成熟度和内外部关联,并利用Cortext平台构建时序演进过程。【结 果/结论】国外开放政府数据研究已形成四类主题社区:健康社区、开放数据社区、管理社区以及安全社区,目前仍 存在“主题遍布粒度不够细化、新兴主题社区亟需成长、演化脉络断续明显”等问题。【创新/局限】嵌入新型算法 SLM 划分主题社区,结合 LDA 模型对国外 OGD 研究主题关联与演化进行了完整阐释。但本文仅选取 WOS核心 库的相关主题文献作为数据源,存在进一步扩充的空间。
Abstract: 【Purpose/significance】The upsurge of“Open Government Data”in the digital era has produced fruitful results.A compre⁃hensive and accurate visualization of the thematic structure and evolution of its research will help to further enrich and improve the re⁃search and scientifically guide the practice in China.【Method/process】Firstly.literature on "Open Government Data" from the WOS database from 2000 to 2019 was selected.and keywords co-occurrence network was extracted.Secondly.the new SLM algorithm is used to detect the thematic community.and the distribution of the research is organized.At the same time.the Social Network Analysis meth⁃od is embedded and the "conductivity" index is introduced to quantitatively evaluate the maturity and internal and external relevance of the thematic community.Finally.the Cortext platform is used to construct the time series evolution process【. Result/conclusion】For⁃eign OGD research has formed four types of themed communities:Health communities.Open Data communities.Management communi⁃ties and Security communities. At present.there are still some problems.such as the granularity of the theme spread is not fine enough.the emerging theme community needs to grow up urgently.and the evolution line is obviously discontinuous【. Innovation/limitation】A new algorithm SLM is embedded to divide the thematic community.and then the thematic relevance and evolution of OGD research abroad are fully explained combined with LDA model.But this article only selects related subject literatures in the WOS core collection as the data source and there is room for further expansion.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Abstract: 【Purpose/significance】The upsurge of“Open Government Data”in the digital era has produced fruitful results.A compre⁃hensive and accurate visualization of the thematic structure and evolution of its research will help to further enrich and improve the re⁃search and scientifically guide the practice in China.【Method/process】Firstly.literature on "Open Government Data" from the WOS database from 2000 to 2019 was selected.and keywords co-occurrence network was extracted.Secondly.the new SLM algorithm is used to detect the thematic community.and the distribution of the research is organized.At the same time.the Social Network Analysis meth⁃od is embedded and the "conductivity" index is introduced to quantitatively evaluate the maturity and internal and external relevance of the thematic community.Finally.the Cortext platform is used to construct the time series evolution process【. Result/conclusion】For⁃eign OGD research has formed four types of themed communities:Health communities.Open Data communities.Management communi⁃ties and Security communities. At present.there are still some problems.such as the granularity of the theme spread is not fine enough.the emerging theme community needs to grow up urgently.and the evolution line is obviously discontinuous【. Innovation/limitation】A new algorithm SLM is embedded to divide the thematic community.and then the thematic relevance and evolution of OGD research abroad are fully explained combined with LDA model.But this article only selects related subject literatures in the WOS core collection as the data source and there is room for further expansion.
Conferences
2022
Breucker, Philippe; Enderli, Géraldine
Cortext Manager : un instrument qui impacte la recherche en Science Sociales Conference
Clermont-Ferrand, 2022, (16e JRSS, Journées de Recherche en Sciences Sociales).
@conference{Breucker2022,
title = {Cortext Manager : un instrument qui impacte la recherche en Science Sociales},
author = {Philippe Breucker and Géraldine Enderli},
url = {https://www.sfer.asso.fr/source/jrss2022/articles/diaporamas/B41_BREUCKER.pdf},
year = {2022},
date = {2022-12-15},
address = {Clermont-Ferrand},
abstract = {Constituer une plateforme scientifique et technique pour soutenir un espace de recherche sur les traces et les usages numériques de la science et de l’innovation en société
},
note = {16e JRSS, Journées de Recherche en Sciences Sociales},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
Delanoue, Elsa; Rodien, Marie-Amélie; Mounaix, Béatrice; Boivin, Xavier
Paris, France, 2022, (26ème Rencontres Recherches Ruminants Idele, INRAE).
@conference{Delanoue2022,
title = {Le traitement du concept de One Welfare dans la littérature : enseignements d’une analyse bibliométrique},
author = {Elsa Delanoue and Marie-Amélie Rodien and Béatrice Mounaix and Xavier Boivin },
url = {https://hal.inrae.fr/hal-03941131v1},
year = {2022},
date = {2022-12-07},
urldate = {2022-12-07},
address = {Paris, France},
abstract = {Apparue il y a quelques années, l’approche « One Welfare » considère que bien-être des humains et des animaux sont interdépendants et liés à l’environnement socio‐économique et naturel de l’exploitation. L’un des axes de travail du RMT One Welfare est d’analyser les dimensions du concept de « One Welfare » pour en co-construire une définition partagée et transdisciplinaire. Pour amorcer ce travail, une analyse bibliométrique du concept, aux échelles française, européenne et internationale, a été menée. Le travail a été réalisé, en grande partie, grâce au logiciel CorText à partir d’un corpus d’articles issu du Web of Science. Le travail a permis d’identifier les 71 références les plus citées, de les classer par type de référence (littérature académique ou technique) et de décrire leurs contenus (définitions, dimensions abordées, approches suivies, type de relations humain-animal considérées,…). Il est ressorti de ce travail que le traitement du One Welfare, dans les différents types de littérature, n’en est qu’à ses débuts. Les papiers traitent ainsi davantage de l’exploration du concept en lui-même que de son application pratique sur le terrain. En conséquence, on observe des confusions persistantes dans sa définition et des difficultés à délimiter son champ d’application. },
note = {26ème Rencontres Recherches Ruminants
Idele, INRAE},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
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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