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
Gerbaud, Vincent; Leiser, Hugues; Beaugrand, Johnny; Cathala, Bernard; Molina-Jouve, Carole; Gue, Anne Marie
Bibliometric survey and network analysis of biomimetics and nature inspiration in engineering science Journal Article
In: Bioinspiration & Biomimetics, 2022.
@article{Gerbaud2022,
title = {Bibliometric survey and network analysis of biomimetics and nature inspiration in engineering science},
author = {Vincent Gerbaud and Hugues Leiser and Johnny Beaugrand and Bernard Cathala and Carole Molina-Jouve and Anne Marie Gue},
url = {http://iopscience.iop.org/article/10.1088/1748-3190/ac4f2e},
doi = {10.1088/1748-3190/ac4f2e},
year = {2022},
date = {2022-01-26},
urldate = {2022-01-26},
journal = {Bioinspiration & Biomimetics},
abstract = {The field encompassing biomimetics, bioinspiration and nature inspiration in engineering science is growing steadily, pushed by exogenous factors like the search for potentially sustainable engineering solutions that might exist already in nature. With help of information provided by bibliometric database and further processed with dynamic network and semantic analysis tool, we provide insight at two scales on the corpus of nature inspired engineering field and its dynamics. At macro scale, the Web of Science® (WoS) categories, countries and institutions are ranked and ordered by thematic clusters and country networks, highlighting leading countries and institutions and how they focus on specific topics. Such an insight provides an overview at a macro scale that can be valuable to orient scientific strategy at the country level. At meso scale where science is incarnated by collaborative networks of authors and institutions that run across countries, we identify six semantic clusters and subclusters within them, and their dynamics. We also pinpoint leading academic collaborative networks and their activity in relation with the six semantic clusters. Trends and prospective are also discussed. Typically one observe that the field is becoming mature since, starting by imitating nature, it proceeded with mimicking more complex natural structures and functions and now it investigates ways used in nature in response to changes in the environment and implements them in innovative and adaptive artefacts. The sophistication of devices, methods and tools has been increasing over the years as well as their functionalities and adaptability whereas the size of devices has decreased at the same time.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Gotor, Alicia Ayerdi; Marraccini, Elisa
Innovative Pulses for Western European Temperate Regions: A Review Journal Article
In: Agronomy, vol. 12, no. 170, 2022.
@article{Gotor2022,
title = {Innovative Pulses for Western European Temperate Regions: A Review },
author = {Alicia Ayerdi Gotor and Elisa Marraccini},
url = {https://www.mdpi.com/2073-4395/12/1/170/htm},
doi = {10.3390/agronomy12010170},
year = {2022},
date = {2022-01-11},
urldate = {2022-01-11},
journal = {Agronomy},
volume = {12},
number = {170},
abstract = {In Europe, there is an increasing interest in pulses both for their beneficial effects in cropping systems and for human health. However, despite these advantages, the acreage dedicated to pulses has been declining and their diversity has reduced, particularly in European temperate regions, due to several social and economic factors. This decline has stimulated a political debate in the EU on the development of plant proteins. By contrast, in Southern countries, a large panel of minor pulses is still cropped in regional patterns of production and consumption. The aim of this paper is to investigate the potential for cultivation of minor pulses in European temperate regions as a complement to common pulses. Our assumption is that some of these crops could adapt to different pedoclimatic conditions, given their physiological adaptation capacity, and that these pulses might be of interest for the development of innovative local food chains in an EU policy context targeting protein autonomy. The research is based on a systematic review of 269 papers retrieved in the Scopus database (1974–2019), which allowed us to identify 41 pulses as candidate species with protein content higher than 20% that are already consumed as food. For each species, the main agronomic (e.g., temperature or water requirements) and nutritional characteristics (e.g., proteins or antinutritional contents) were identified in their growing regions. Following their agronomic characteristics, the candidate crops were confronted with variability in the annual growing conditions for spring crops in Western European temperate areas to determine the earliest potential sowing and latest harvest dates. Subsequently, the potential sum of temperatures was calculated with the Agri4cast database to establish the potential climatic suitability. For the first time, 21 minor pulses were selected to be grown in these temperate areas and appear worthy of investigation in terms of yield potential, nutritional characteristics or best management practices. },
keywords = {},
pubstate = {published},
tppubtype = {article}
}
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.
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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