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Published in:
2020 | OriginalPaper | Chapter
Text as Semantic Fields: Integration of an Enriched Language Conception in the Text Analysis Tool Evoq\(^{{{\textregistered }}}\)
Authors : Isabelle Linden, Anne Wallemacq, Bruno Dumas, Guy Deville, Antoine Clarinval, Maxime Cauz
Published in: Research Challenges in Information Science
Publisher: Springer International Publishing
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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.