CorTexT platform

The CorTexT Platform is the digital platform of LISIS Unit and a project launched and sustained by IFRIS and INRAE.
This platform aims at empowering open research and studies in humanities about the dynamic of science, technology, innovation and knowledge production.

After the emergence and generalization of network analysis in many disciplines and its valorization in on-line bibliometric tools and then in many social media infrastructure of digital business, quali-quantitative of data bases and the booming of @datas is creating a new space for research. Designing and engineering solution for the analysis and the visualization of datasets represents a scientific and technological challenge. Moreover, the next step towards digital humanities does not address only a technological gap for social sciences; it also means the development of epistemic bargain between disciplines of social sciences, artificial intelligence and computing sciences since the complexity of research problem is increasing in relation to the profusion of new data.

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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 […]
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 […]
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 […]
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) […]
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 […]
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 […]
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 […]
Covid-19: Pandemic and online social movements

A Covid-19 Data Sprint was organized by the D2SN Master of UGE. On June 30th, 2020 was presented an analysis of how, during the lockdown, people continued to express their dissatisfaction through online social movements. This analysis is based on the study of Twitter hashtags during this period. The study focuses on the evolution of […]

Latest scientific works using CorText Manager

266 entries « ‹ 36 of 67 › »

2019

Inproceedings

Khan, Sana; Laurens, Patricia; Bas, Christian Le

Frugal Innovation, Sustainability, and Sustainable Frugal Innovation: A conceptual clarification and empirical evidence Inproceedings

In: AIMs conference, Dakar, 2019.

Abstract | Links | BibTeX

Malanski, Priscila Duarte; Dedieu, Benoît; de Alencar Schiavi, Sandra Mara

As tendencias da pesquisa internacional sobre trabalho na agricultura Inproceedings

In: III Simpósio de Pós-Graduação e Pesquisa em Administração – PPA/UEM, 2019.

Abstract | Links | BibTeX

Masters Theses

Aumüller-Wagner, Sophia; Læarsson, Bartal; Agar, Muhammed; Mituzaite, Kristina; Münz, Janina; Malnača, Linda

Dominant and silent voices in the discourse on Health Smart Homes for the Elderly on Twitter and Scopus Masters Thesis

IT-University of Copenhagen, 2019.

Abstract | Links | BibTeX

Online

Gauld, Christophe

Mining big data about representations of autism spectrum disorder : a comparison from Twitter to PubMed, a TwiMed proof-of-concept Online

2019.

Abstract | Links | BibTeX

@online{Gauld2019b,

title = {Mining big data about representations of autism spectrum disorder : a comparison from Twitter to PubMed, a TwiMed proof-of-concept},

author = {Christophe Gauld},

url = {https://www.researchgate.net/publication/337289960_Mining_big_data_about_representations_of_autism_spectrum_disorder_a_comparison_from_Twitter_to_PubMed_a_TwiMed_proof-of-concept},

doi = {10.13140/RG.2.2.20575.61604},

year  = {2019},

date = {2019-11-15},

abstract = {Aim: Twitter is the most commonly used social media forum in public health and is considered the radio of the internet. Many health providers utilize this media to disseminate health information. Patient use of social media for mental health topics encourages providers to disseminate quality information and to develop virtual collaborative learning environments. Such social media could also be seen as a reflection of a trend towards folk psychology. This study explored trends in health information exchanged by users of Twitter, a broad social media, through analyses of tweets about Autism Spectrum Disorder (ASD). This proxy of trends in folk psychology could be compared semantically with the corpus derived from biomedical research. Methods: At first, we conducted a text-mining analysis with a sample of 10,000 tweets posted using #autism, by a text-mining method. We built a network of words in order to extract the main dimensions about these data (Latent Dirichlet Analysis). Second, we performed a geocoding analysis to create a Twitter maps of social media tweet and checked the regularity of tweets in the short and medium term. In parallel, we performed a text-mining analysis using the platform PubMed with the term « autis* », and we built networks of words. For each of them, we extracted the main dimensions from the terms. Results: We were able to retrieve 121,556 terms related to the term #autism. Most tweets focus on five dimensions: (1) Education, (2) Childhood, (3) Environment/Relatives, (4) Techniques/Sciences and (5) Support. Concerning the most researched topics in the biomedical research, on 49,021 publications, we found four dimensions: (I) Clinical/Neuropsychology/Psychometry, (II) Behavioral/Language aspects, (III) Neuroscience/Neurogenetics/Neuropharmacology, (IV) Comorbidities. Conclusion: Results suggest thematics about ASD disseminated between a social media and a biomedical database are really different. Health providers are encouraged to establish a presence on social media to learn about representations, share scholarly work or just exchange information with patients and relatives concerned by ASD.},

keywords = {},

pubstate = {published},

tppubtype = {online}

}

Aim: Twitter is the most commonly used social media forum in public health and is considered the radio of the internet. Many health providers utilize this media to disseminate health information. Patient use of social media for mental health topics encourages providers to disseminate quality information and to develop virtual collaborative learning environments. Such social media could also be seen as a reflection of a trend towards folk psychology. This study explored trends in health information exchanged by users of Twitter, a broad social media, through analyses of tweets about Autism Spectrum Disorder (ASD). This proxy of trends in folk psychology could be compared semantically with the corpus derived from biomedical research. Methods: At first, we conducted a text-mining analysis with a sample of 10,000 tweets posted using #autism, by a text-mining method. We built a network of words in order to extract the main dimensions about these data (Latent Dirichlet Analysis). Second, we performed a geocoding analysis to create a Twitter maps of social media tweet and checked the regularity of tweets in the short and medium term. In parallel, we performed a text-mining analysis using the platform PubMed with the term « autis* », and we built networks of words. For each of them, we extracted the main dimensions from the terms. Results: We were able to retrieve 121,556 terms related to the term #autism. Most tweets focus on five dimensions: (1) Education, (2) Childhood, (3) Environment/Relatives, (4) Techniques/Sciences and (5) Support. Concerning the most researched topics in the biomedical research, on 49,021 publications, we found four dimensions: (I) Clinical/Neuropsychology/Psychometry, (II) Behavioral/Language aspects, (III) Neuroscience/Neurogenetics/Neuropharmacology, (IV) Comorbidities. Conclusion: Results suggest thematics about ASD disseminated between a social media and a biomedical database are really different. Health providers are encouraged to establish a presence on social media to learn about representations, share scholarly work or just exchange information with patients and relatives concerned by ASD.

266 entries « ‹ 36 of 67 › »

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Providing useful tools, data, methods or algorithms, has been one of the main goals of CorText Team. Therefore, CorText Newsfeed is there to put emphasis on some of our recent activities. We want it to be simple and fast reading so you would be able to pick relevant information for your own work.

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CorTexT platform

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2019

Inproceedings

Masters Theses

Online

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