A research infrastructure for the social sciences and humanities
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.
In: Proceedings of the 10th Central and Eastern European Software Engineering Conference in Russia, pp. 18, ACM 2014, (https://doi.org/10.1145/2687233.2687254).
@inproceedings{lepinay2014russian,
title = {Russian computer scientists, local and abroad: mobility and collaboration},
author = {Vincent Lepinay and Andrei Mogoutov and Jean-Philippe Cointet and Lionel Villard},
url = {https://dl.acm.org/citation.cfm?id=2687233.2687254},
doi = {/10.1145/2687233.2687254},
year = {2014},
date = {2014-01-01},
urldate = {2014-01-01},
booktitle = {Proceedings of the 10th Central and Eastern European Software Engineering Conference in Russia},
pages = {18},
organization = {ACM},
abstract = {In this paper we present the first results of the first comprehensive study of a population that has drawn attention over the past few years, Russian computer scientists (CS) and IT specialists. We collected data from digital platforms were CS and IT leave either signatures or digital traces. The difference between signatures and traces is the difference between intentional scientific claims (an article or a vitae) and by-products of activities that take place on the web. Digital signatures are a digital mode of existence of objects that exist otherwise; digital traces only exist on digital platforms.},
note = {https://doi.org/10.1145/2687233.2687254},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
In this paper we present the first results of the first comprehensive study of a population that has drawn attention over the past few years, Russian computer scientists (CS) and IT specialists. We collected data from digital platforms were CS and IT leave either signatures or digital traces. The difference between signatures and traces is the difference between intentional scientific claims (an article or a vitae) and by-products of activities that take place on the web. Digital signatures are a digital mode of existence of objects that exist otherwise; digital traces only exist on digital platforms.
@inproceedings{omodei2014mapping,
title = {Mapping the natural language processing domain: Experiments using the acl anthology},
author = {Elisa Omodei and Jean-Philippe Cointet and Thierry Poibeau},
url = {https://hal.archives-ouvertes.fr/hal-01056147},
year = {2014},
date = {2014-01-01},
booktitle = {LREC 2014, the Ninth International Conference on Language Resources and Evaluation},
pages = {2972-2979},
organization = {ELRA},
abstract = {This paper investigates the evolution of the computational linguistics domain through a quantitative analysis of the ACL Anthology (containing around 12,000 papers published between 1985 and 2008). Our approach combines complex system methods with natural language processing techniques. We reconstruct the socio-semantic landscape of the domain by inferring a co-authorship and a semantic network from the analysis of the corpus. First, keywords are extracted using a hybrid approach mixing linguistic patterns with statistical information. Then, the semantic network is built using a co-occurrence analysis of these keywords within the corpus. Combining temporal and network analysis techniques, we are able to examine the main evolutions of the field and the more active subfields over time. Lastly we propose a model to explore the mutual influence of the social and the semantic network over time, leading to a socio-semantic co-evolutionary system. },
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
This paper investigates the evolution of the computational linguistics domain through a quantitative analysis of the ACL Anthology (containing around 12,000 papers published between 1985 and 2008). Our approach combines complex system methods with natural language processing techniques. We reconstruct the socio-semantic landscape of the domain by inferring a co-authorship and a semantic network from the analysis of the corpus. First, keywords are extracted using a hybrid approach mixing linguistic patterns with statistical information. Then, the semantic network is built using a co-occurrence analysis of these keywords within the corpus. Combining temporal and network analysis techniques, we are able to examine the main evolutions of the field and the more active subfields over time. Lastly we propose a model to explore the mutual influence of the social and the semantic network over time, leading to a socio-semantic co-evolutionary system.
In: Proceedings of the 15th Annual International Conference on Digital Government Research, pp. 273-279, ACM 2014, (https://doi.org/10.1145/2612733.2612763).
@inproceedings{steinfeld2014well,
title = {Well-done, Mr. Mayor!: Linguistic analysis of municipal facebook pages},
author = {Nili Steinfeld and Azi Lev-On},
url = {http://delivery.acm.org/10.1145/2620000/2612763/p273-steinfeld.pdf?ip=193.50.159.53&id=2612763&acc=ACTIVE%20SERVICE&key=7EBF6E77E86B478F%2E61E9A885BAD764B5%2E4D4702B0C3E38B35%2E4D4702B0C3E38B35&__acm__=1552899282_c684371c6e1983abb09f4803232dbb4c},
doi = {/10.1145/2612733.2612763},
year = {2014},
date = {2014-01-01},
urldate = {2014-01-01},
booktitle = {Proceedings of the 15th Annual International Conference on Digital Government Research},
pages = {273-279},
organization = {ACM},
abstract = {The increasing use of social networks has given rise to a new kind of relations between residents and authorities at the municipal level, where residents can speak directly to administrators and representatives, can take part in open discussions, and may have more direct involvement and influence on local affairs. The more direct democracy facilitated by social media outlets fascinates communication and political science researchers. But while most of their attention is drawn to national politics, the municipal arena can be even more affected by these new means of direct communication. This paper focuses on municipal administration on Facebook, and analyzes the discourse that has developed between citizens and local administrators on municipal Facebook pages, using automatic digital tools.
The formal Facebook pages of all of the cities in Israel were extracted using digital tools, and all posts and comments published on these pages in a period of six months were analyzed using automatic linguistic analysis tools that provided information regarding the use and frequencies of words and terms in the texts.
The paper presents the prominent topics, use of language, and basic features of citizens--municipalities interactions in formal Facebook pages. The study discusses the findings, their implications, and the advantages and limitations of using digital tools to analyze texts in a digital research field.},
note = {https://doi.org/10.1145/2612733.2612763},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
The increasing use of social networks has given rise to a new kind of relations between residents and authorities at the municipal level, where residents can speak directly to administrators and representatives, can take part in open discussions, and may have more direct involvement and influence on local affairs. The more direct democracy facilitated by social media outlets fascinates communication and political science researchers. But while most of their attention is drawn to national politics, the municipal arena can be even more affected by these new means of direct communication. This paper focuses on municipal administration on Facebook, and analyzes the discourse that has developed between citizens and local administrators on municipal Facebook pages, using automatic digital tools.
The formal Facebook pages of all of the cities in Israel were extracted using digital tools, and all posts and comments published on these pages in a period of six months were analyzed using automatic linguistic analysis tools that provided information regarding the use and frequencies of words and terms in the texts.
The paper presents the prominent topics, use of language, and basic features of citizens--municipalities interactions in formal Facebook pages. The study discusses the findings, their implications, and the advantages and limitations of using digital tools to analyze texts in a digital research field.
@inproceedings{Schoen2014,
title = {A double shift in researchers’ activity profiles: an actor-based analysis of the making of quality in high standing academic departments},
author = {Antoine Schoen and Catherine Paradeise and Lionel Cauchard and Marianne Noël},
url = {https://scholar.google.com/citations?view_op=view_citation&hl=fr&user=fi0iAmwAAAAJ&citation_for_view=fi0iAmwAAAAJ:qjMakFHDy7sC},
year = {2014},
date = {2014-01-01},
urldate = {2014-01-01},
booktitle = {STI 2014 Leiden, “Context Counts: Pathways to Master Big and Little Data”},
organization = {CWTS},
series = {STI 2014 Leiden},
abstract = {This study aims at opening the black box of high standing academic departments for analysing the combination of individual contributions in the production of a shared quality label. By analysing personal CVs, this study investigates three research questions: To what extent is academic quality the result of individual performances or a collective achievement? Can we characterise a specialisation of activities within the departments between « junior » and « senior » researchers? Is there a shift across cohorts in the academic activity profile during the early career phase?},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
This study aims at opening the black box of high standing academic departments for analysing the combination of individual contributions in the production of a shared quality label. By analysing personal CVs, this study investigates three research questions: To what extent is academic quality the result of individual performances or a collective achievement? Can we characterise a specialisation of activities within the departments between « junior » and « senior » researchers? Is there a shift across cohorts in the academic activity profile during the early career phase?
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