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.

Original languageEnglish
Title of host publicationResearch Challenges in Information Science - 14th International Conference, RCIS 2020, Proceedings
EditorsFabiano Dalpiaz, Jelena Zdravkovic, Pericles Loucopoulos
PublisherSpringer
Pages543-548
Number of pages6
Volume385
ISBN (Print)9783030503154
DOIs
Publication statusPublished - 1 Jan 2020

Publication series

NameLecture Notes in Business Information Processing
Volume385 LNBIP
ISSN (Print)1865-1348
ISSN (Electronic)1865-1356

Keywords

  • Data analytic
  • Evoq
  • Human sciences
  • Structural analysis
  • Text analysis

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