Text as Semantic Fields: Integration of an Enriched Language Conception in the Text Analysis Tool Evoq®

Isabelle Linden; Anne Wallemacq; Bruno Dumas; Guy Deville; Antoine Clarinval; Maxime Cauz

doi:10.1007/978-3-030-50316-1_36

Text as Semantic Fields: Integration of an Enriched Language Conception in the Text Analysis Tool Evoq®

Isabelle Linden, Anne Wallemacq, Bruno Dumas, Guy Deville, Antoine Clarinval, Maxime Cauz

Research output: Contribution in Book/Catalog/Report/Conference proceeding › Conference contribution

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 language	English
Title of host publication	Research Challenges in Information Science - 14th International Conference, RCIS 2020, Proceedings
Editors	Fabiano Dalpiaz, Jelena Zdravkovic, Pericles Loucopoulos
Publisher	Springer
Pages	543-548
Number of pages	6
Volume	385
ISBN (Print)	9783030503154
DOIs	https://doi.org/10.1007/978-3-030-50316-1_36
Publication status	Published - 1 Jan 2020

Publication series

Name	Lecture Notes in Business Information Processing
Volume	385 LNBIP
ISSN (Print)	1865-1348
ISSN (Electronic)	1865-1356

Keywords

Data analytic
Evoq
Human sciences
Structural analysis
Text analysis

Access to Document

10.1007/978-3-030-50316-1_36

Cite this

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®. In F. Dalpiaz, J. Zdravkovic, & P. Loucopoulos (Eds.), Research Challenges in Information Science - 14th International Conference, RCIS 2020, Proceedings (Vol. 385, pp. 543-548). Article 36 (Lecture Notes in Business Information Processing; Vol. 385 LNBIP). Springer. https://doi.org/10.1007/978-3-030-50316-1_36

Linden, Isabelle ; Wallemacq, Anne ; Dumas, Bruno et al. / Text as Semantic Fields: Integration of an Enriched Language Conception in the Text Analysis Tool Evoq®. Research Challenges in Information Science - 14th International Conference, RCIS 2020, Proceedings. editor / Fabiano Dalpiaz ; Jelena Zdravkovic ; Pericles Loucopoulos. Vol. 385 Springer, 2020. pp. 543-548 (Lecture Notes in Business Information Processing).

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title = "Text as Semantic Fields: Integration of an Enriched Language Conception in the Text Analysis Tool Evoq{\textregistered}",

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{\textquoteright}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.",

keywords = "Data analytic, Evoq, Human sciences, Structural analysis, Text analysis",

author = "Isabelle Linden and Anne Wallemacq and Bruno Dumas and Guy Deville and Antoine Clarinval and Maxime Cauz",

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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®. in F Dalpiaz, J Zdravkovic & P Loucopoulos (eds), Research Challenges in Information Science - 14th International Conference, RCIS 2020, Proceedings. vol. 385, 36, Lecture Notes in Business Information Processing, vol. 385 LNBIP, Springer, pp. 543-548. https://doi.org/10.1007/978-3-030-50316-1_36

Text as Semantic Fields: Integration of an Enriched Language Conception in the Text Analysis Tool Evoq®. / Linden, Isabelle ; Wallemacq, Anne ; Dumas, Bruno et al.
Research Challenges in Information Science - 14th International Conference, RCIS 2020, Proceedings. ed. / Fabiano Dalpiaz; Jelena Zdravkovic; Pericles Loucopoulos. Vol. 385 Springer, 2020. p. 543-548 36 (Lecture Notes in Business Information Processing; Vol. 385 LNBIP).

Research output: Contribution in Book/Catalog/Report/Conference proceeding › Conference contribution

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T1 - Text as Semantic Fields: Integration of an Enriched Language Conception in the Text Analysis Tool Evoq®

AU - Linden, Isabelle

AU - Wallemacq, Anne

AU - Dumas, Bruno

AU - Deville, Guy

AU - Clarinval, Antoine

AU - Cauz, Maxime

PY - 2020/1/1

Y1 - 2020/1/1

N2 - 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.

AB - 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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T3 - Lecture Notes in Business Information Processing

SP - 543

EP - 548

BT - Research Challenges in Information Science - 14th International Conference, RCIS 2020, Proceedings

A2 - Dalpiaz, Fabiano

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Linden I , Wallemacq A , Dumas B , Deville G , Clarinval A , Cauz M. Text as Semantic Fields: Integration of an Enriched Language Conception in the Text Analysis Tool Evoq®. In Dalpiaz F, Zdravkovic J, Loucopoulos P, editors, Research Challenges in Information Science - 14th International Conference, RCIS 2020, Proceedings. Vol. 385. Springer. 2020. p. 543-548. 36. (Lecture Notes in Business Information Processing). doi: 10.1007/978-3-030-50316-1_36

Text as Semantic Fields: Integration of an Enriched Language Conception in the Text Analysis Tool Evoq®

Abstract

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EFFaTA-MeM: Evocative Frameworks for Texts Analysis – Mediality Models – A transdisciplinary Approach

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Text as Semantic Fields: Integration of an Enriched Language Conception in the Text Analysis Tool Evoq®

Abstract

Publication series

Keywords

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Projects

EFFaTA-MeM: Evocative Frameworks for Texts Analysis – Mediality Models – A transdisciplinary Approach

Cite this