Core Conflictual Relationship: Text Mining to Discover What and When

Fionn Murtagh, Giuseppe Iurato

Research output: Contribution to journalArticle

Abstract

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.
LanguageEnglish
Pages4-28
Number of pages25
JournalLanguage and Psychoanalysis
Volume7
Issue number2
Early online date21 Sep 2018
DOIs
Publication statusPublished - 15 Dec 2018

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Text mining
Methodology
Open source
Repository
Process analysis
Visualization
Data mining
Knowledge discovery
Correspondence analysis

Cite this

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Core Conflictual Relationship : Text Mining to Discover What and When. / Murtagh, Fionn; Iurato, Giuseppe.

In: Language and Psychoanalysis, Vol. 7, No. 2, 15.12.2018, p. 4-28.

Research output: Contribution to journalArticle

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