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

Résultats de recherche: Contribution dans un livre/un catalogue/un rapport/dans les actes d'une conférence › Article dans les actes d'une conférence/un colloque

Résumé

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.

langue originale	Anglais
titre	Research Challenges in Information Science - 14th International Conference, RCIS 2020, Proceedings
rédacteurs en chef	Fabiano Dalpiaz, Jelena Zdravkovic, Pericles Loucopoulos
Editeur	Springer
Pages	543-548
Nombre de pages	6
Volume	385
ISBN (imprimé)	9783030503154
Les DOIs	https://doi.org/10.1007/978-3-030-50316-1_36
Etat de la publication	Publié - 1 janv. 2020

Série de publications

Nom	Lecture Notes in Business Information Processing
Volume	385 LNBIP
ISSN (imprimé)	1865-1348
ISSN (Electronique)	1865-1356

Accès au document

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

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Link to publication in Scopus

EFFaTA-MeM: Evocative Frameworks for Texts Analysis – Mediality Models – A transdisciplinary Approach
Linden, I., Wallemacq, A., BOSSE, A., Deville, G. & Dumas, B.
2/11/15 → 31/12/20
Projet: Recherche

Contient cette citation

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®. Dans F. Dalpiaz, J. Zdravkovic, & P. Loucopoulos (eds.), Research Challenges in Information Science - 14th International Conference, RCIS 2020, Proceedings (Vol 385, p. 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. Editeur / Fabiano Dalpiaz ; Jelena Zdravkovic ; Pericles Loucopoulos. Vol 385 Springer, 2020. p. 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",

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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®. Dans 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, p. 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).

Résultats de recherche: Contribution dans un livre/un catalogue/un rapport/dans les actes d'une conférence › Article dans les actes d'une conférence/un colloque

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

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PB - Springer

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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®. Dans Dalpiaz F, Zdravkovic J, Loucopoulos P, rédacteurs en chef, 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®

Résumé

Série de publications

Accès au document

Autres fichiers et liens

Empreinte digitale

Projets

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

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