Quantitative analysis of a textual corpus in Human Sciences: The case of the Alceste french software - Archive ouverte HAL
Communication Dans Un Congrès Année : 2019

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

Résumé

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.
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Dates et versions

hal-02299169 , version 1 (27-09-2019)

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  • HAL Id : hal-02299169 , version 1

Citer

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⟩

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