L’analyse de données textuelles assistée par ordinateur

Caroline Mothe, Estelle Delfosse and Anne Marie Bocquet
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Caroline Mothe: IREGE - Institut de Recherche en Gestion et en Economie - USMB [Université de Savoie] [Université de Chambéry] - Université Savoie Mont Blanc
Estelle Delfosse: IREGE - Institut de Recherche en Gestion et en Economie - USMB [Université de Savoie] [Université de Chambéry] - Université Savoie Mont Blanc
Anne Marie Bocquet: IREGE - Institut de Recherche en Gestion et en Economie - USMB [Université de Savoie] [Université de Chambéry] - Université Savoie Mont Blanc

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Abstract: The use of Textual Data Analysis (TDA) has spread thanks to information science techniques applied to linguistics, and has evolved from lexical analysis to semantic analysis. This specific approach allows an amplified experience thanks to the possibilities provided by the web of graphical interactions and sharing. Using this approach to analyze a corpus of about 200 documents on district heating networks in France, we show the interest of automated Textual Data Analysis methods for researchers, managers, and all those who have to analyze a wide corpus of documents.

Date: 2021
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Published in Revue Française de Gestion, 2021, 47 (295), pp.11-37. ⟨10.3166/rfg.2021.00525⟩

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-03971235

DOI: 10.3166/rfg.2021.00525

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