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Quatre approches pour l'analyse de données textuelles: lexicale, linguistique, cognitive, thématique

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  • Bernard Fallery

    (Systèmes d'information - MRM - Montpellier Research in Management - UM1 - Université Montpellier 1 - UPVM - Université Paul-Valéry - Montpellier 3 - UM2 - Université Montpellier 2 - Sciences et Techniques - UPVD - Université de Perpignan Via Domitia - Groupe Sup de Co Montpellier (GSCM) - Montpellier Business School)

  • Florence Rodhain

    (Systèmes d'information - MRM - Montpellier Research in Management - UM1 - Université Montpellier 1 - UPVM - Université Paul-Valéry - Montpellier 3 - UM2 - Université Montpellier 2 - Sciences et Techniques - UPVD - Université de Perpignan Via Domitia - Groupe Sup de Co Montpellier (GSCM) - Montpellier Business School)

Abstract

L'Analyse de Données Textuelles (A.D.T.) regroupe aujourd'hui de nombreuses méthodes et de nombreux outils, qui visent à découvrir l'information " essentielle " contenue dans un texte. De quoi parle-t-on? C'est le domaine de l'approche lexicale. Comment en parle-t-on ? Il s'agit alors d'approche linguistique. Comment structurer une pensée ? C'est l'ambition de la cartographie cognitive. Et enfin comment interpréter un contenu ? Il s'agit de l'assistance à l'approche thématique. Pour ces quatre approches (illustrées en exemple par quatre outils : Alceste, Tropes, Decision Explorer et NVivo) on discute des problèmes méthodologiques puis théoriques qu'elles posent. La conclusion envisage les facteurs de choix d'un type particulier d'analyse qualitative.

Suggested Citation

  • Bernard Fallery & Florence Rodhain, 2007. "Quatre approches pour l'analyse de données textuelles: lexicale, linguistique, cognitive, thématique," Post-Print hal-00821448, HAL.
    • Handle: RePEc:hal:journl:hal-00821448
    Note: View the original document on HAL open archive server: https://hal.science/hal-00821448
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    References listed on IDEAS

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    1. Colin Eden & Fran Ackermann & Steve Cropper, 1992. "The Analysis Of Cause Maps," Journal of Management Studies, Wiley Blackwell, vol. 29(3), pages 309-324, May.
    2. C. Causente & D. Peyrat-Guillard & L. Lebart & J. Rojot & Agnès Helme-Guizon & Marie-Laure Gavard-Perret, 2007. "Analyse statistique de données textuelles en sciences de gestion," Post-Print halshs-00155786, HAL.
    3. Bernard Fallery & Carole Marti & Gerald Brunetto, 2007. "Storytelling on the Internet to develop weak-link networks. Two case studies Artistoria," Post-Print hal-00777898, HAL.
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    Cited by:

    1. Saida Dammak, 2014. "An Analysis of the Relationship between the Voluntary Disclosure of the Intellectual Capital and the Firm Value," International Journal of Management Sciences, Research Academy of Social Sciences, vol. 4(11), pages 546-566.
    2. Céline Averseng, 2011. "How to structure the complexity without giving up the thematic exhaustiveness of a state of the art in management science? Feedback on the methodological contribution of classification tools of qualit," Post-Print hal-01992760, HAL.
    3. Florence Rodhain & Bernard Fallery, 2010. "T.I.C. et écologie : de la bonne conscience ... à la responsabilité ?," Post-Print hal-03676380, HAL.

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