ASSIST: Article eXtraction and statIstical AnalysiS

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 efficie...

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Bibliographic Details
Published in2021 IEEE International Conference on Big Data (Big Data) pp. 4273 - 4276
Main Authors Fouille, Justine, Nguyen, Thi Lan Huong, Alix, Baptiste, Becker, Brett, Rochard, Matthieu, de Ribaupierre, Helene, d'Orazio, Laurent
Format Conference Proceeding
LanguageEnglish
Published IEEE 15.12.2021
Subjects
Bibliographies
Bibliometrics
Big Data
Conferences
Data Analytic
Data Extraction
Statistical analysis
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Summary: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.
DOI:10.1109/BigData52589.2021.9671743