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Core conflictual relationship: text mining to discover what and when
University of Huddersfield, UK.ORCID-id: 0000-0002-0589-6892
Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för matematik (MA). (ICMM)
2018 (engelsk)Inngår i: Language and Psychoanalysis, ISSN 2049-324X, Vol. 7, nr 2, s. 4-28Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

Following detailed presentation of the Core Conflictual Relationship Theme (CCRT), there is the objective of relevant methods for what has been described as verbalization and visualization of data. Such is also termed data mining and text mining, and knowledge discovery in data. The Correspondence Analysis methodology, also termed Geometric Data Analysis, is shown in a case study to be comprehensive and revealing. Quite innovative here is how the analysis process is structured. For both illustrative and revealing aspects of the case study here, relatively extensive dream reports are used. The dream reports are from an open source repository of dream reports, and the current study proposes a possible framework for the analysis of dream report narratives, and further, how such an analysis could be relevant within the psychotherapeutic context. This Geometric Data Analysis here confirms the validity of CCRT method.

sted, utgiver, år, opplag, sider
Edinburgh: University of Edinburgh , 2018. Vol. 7, nr 2, s. 4-28
HSV kategori
Forskningsprogram
Data- och informationsvetenskap; Naturvetenskap
Identifikatorer
URN: urn:nbn:se:lnu:diva-83292DOI: 10.7565/landp.v7i2.1585ISI: 000454105200001Scopus ID: 2-s2.0-85057740070OAI: oai:DiVA.org:lnu-83292DiVA, id: diva2:1317870
Tilgjengelig fra: 2019-05-24 Laget: 2019-05-24 Sist oppdatert: 2019-05-27bibliografisk kontrollert

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