EconPapers    
Economics at your fingertips  
 

L’analyse de données textuelles assistée par ordinateur. Les discours sur les réseaux de chaleur

Caroline Mothe, Estelle Delfosse and Anne Marie Bocquet

Revue française de gestion, 2021, vol. N° 295, issue 2, 11-37

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
References: Add references at CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://www.cairn.info/load_pdf.php?ID_ARTICLE=RFG_295_0003 (application/pdf)
http://www.cairn.info/revue-francaise-de-gestion-2021-2-page-11.htm (text/html)
free

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:cai:rfglav:rfg_295_0003

Access Statistics for this article

More articles in Revue française de gestion from Lavoisier
Bibliographic data for series maintained by Jean-Baptiste de Vathaire (operations@cairn.info).

 
Page updated 2025-03-19
Handle: RePEc:cai:rfglav:rfg_295_0003