ASSIST: Article eXtraction and statIstical AnalysiS

Justine Fouillé (1) , Thi Lan Huong Nguyen (1) , Baptiste Alix (1) , Brett Becker (1) , Matthieu Rochard (1) , Hélène de Ribaupierre (2) , Laurent d'Orazio (1)

1 SHAMAN - A Symbolic and Human-centric view of dAta MANagement
2 School of Computer Sciences & Informatics [Cardiff]

There are fewer female authors than male authors in the field of scientific research. However, there is not yet a system that provides a way to analyze the data that is available, and to backup that claim. This paper illustrates the upgrade of a tool previously made, in order to make it more efficient and add new features. Such new features are the keywords cloud or the new statistical functionality. Sources, references and other information on the article will be displayed for each articles retrieved. Genders of the authors will be determined using a database linking first names to genders, to be able to get accurate statistics on a large number of gathered articles.

Mots clés: Data Extraction; Data Analytic; Statistical Analysis

Domaines: Informatique [cs]

Justine Fouillé, Thi Lan Huong Nguyen, Baptiste Alix, Brett Becker, Matthieu Rochard, et al.. ASSIST: Article eXtraction and statIstical AnalysiS. International Workshop on Data science for equality, inclusion and well-being challenges (DS4EIW@BigData), Dec 2021, Virtuelle, France. ⟨hal-03522313⟩