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Text as Semantic Fields: Integration of an Enriched Language Conception in the Text Analysis Tool Evoq\(^{{{\textregistered }}}\)

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Research Challenges in Information Science (RCIS 2020)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 385))

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Abstract

Analysis of interviews transcripts plays a key role in many human sciences research protocols. Numerous IT tools are already used to support this task. Most of them leave the interpretation task to the analyst, or involve an implicit conception of language which is rarely questioned.

Developed in the context of the EFFaTA-MeM (Evocative Framework For Text Analysis - Mediality Models) trans-disciplinary research project, the Evoq software takes a radically innovative approach. It voluntarily integrates concepts from post-structuralism theory which are thus offered as a reading sieve at the analyst’s disposal.

This demo paper briefly introduces the main concepts of post-structuralism, then it presents how these concept are modelised in a formal system. Finally, it shows how this approach is integrated in the Evoq software and how the human scientist can benefit from its functionalities.

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Notes

  1. 1.

    For the sake of simplicity of the report we use “word” in this paper to denote “word or expression in their canonical form”.

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Author information

Authors and Affiliations

  1. NAmur Digital Institute (NADI), University of Namur, Namur, Belgium

    Isabelle Linden, Anne Wallemacq, Bruno Dumas, Antoine Clarinval & Maxime Cauz

  2. NAmur Institute of Language, Text and Transmediality (NaLTT), University of Namur, Namur, Belgium

    Anne Wallemacq & Guy Deville

  3. Institut de Recherches en Didactiques et Education de l’UNamur (IRDENa), University of Namur, Namur, Belgium

    Guy Deville

Authors
  1. Isabelle Linden
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  2. Anne Wallemacq
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  3. Bruno Dumas
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  4. Guy Deville
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  5. Antoine Clarinval
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  6. Maxime Cauz
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Corresponding author

Correspondence to Isabelle Linden .

Editor information

Editors and Affiliations

  1. Utrecht University, Utrecht, The Netherlands

    Fabiano Dalpiaz

  2. Stockholm University, Kista, Sweden

    Jelena Zdravkovic

  3. The Institute of Digital Innovation and Research, Dublin, Ireland

    Pericles Loucopoulos

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Linden, I., Wallemacq, A., Dumas, B., Deville, G., Clarinval, A., Cauz, M. (2020). Text as Semantic Fields: Integration of an Enriched Language Conception in the Text Analysis Tool Evoq\(^{{{\textregistered }}}\). In: Dalpiaz, F., Zdravkovic, J., Loucopoulos, P. (eds) Research Challenges in Information Science. RCIS 2020. Lecture Notes in Business Information Processing, vol 385. Springer, Cham. https://doi.org/10.1007/978-3-030-50316-1_36

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  • DOI: https://doi.org/10.1007/978-3-030-50316-1_36

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-50315-4

  • Online ISBN: 978-3-030-50316-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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