Quantitative analysis of a textual corpus in Human Sciences: The case of the Alceste french software

Melpomeni Papadopoulou (1)

1 EES - Éducation Éthique Santé EA 7505

This contribution aims to expose and question the use of Alceste, a textual statistical analysis software, based on an ongoing research in Human Sciences. After a presentation of the software, its objectives and the linguistic researches that it is based on, we explore the way that this quantitative data processing tool proposes a qualitative analysis of a textual corpus. We conclude with a feedback on its methodological aspects, based on the analysis of a corpus of seven semi-structured interviews.

Domaines: Education; Sciences de l'information et de la communication; Méthodes et statistiques

Melpomeni Papadopoulou. Quantitative analysis of a textual corpus in Human Sciences: The case of the Alceste french software. The social sciences and the challenge of fieldwork : International perspectives, May 2019, Tours, France. ⟨hal-02299169⟩