Core Conflictual Relationship
Text Mining to Discover What and When
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.
References
Cariola, L. (2011). Analysing the latent linguistic structure of American-English and German dream narratives, presentation. International Journal of Dream Research, 4, S39. Retrieved from https://www.academia.edu/1697108/Analysing_the_latent_linguistic_structure_of_American-English_and_German_dream_narratives
Domhoff, G. (2003). The scientific study of dreams: Neural networks, cognitive development and content analysis. Washington D.C.: American Psychological Association.
Domhoff, G. (2006). Barb Sanders: Our best case study to date, and one that can be built upon. Technical report, p. 27. Retrieved from http://www2.ucsc.edu/dreams/Findings/barb sanders.html.
Domhoff, G.W., & Schneider, A. (2008). Studying dream content using the archive and search engine on DreamBand.net. Consciousness and Cognition, 17, 1238–1247. Retrieved from https://www2.ucsc.edu/dreams/Library/domhoff_2008c.html
Barbara Sanders Interview. Dreams and waking Life: Interview information to accompany the dream journal of barbara sanders, p. 53. Retrieved from https://www2.ucsc.edu/dreams/Findings/barb_sanders/barb_sanders_interviews.pdf
DreamBank (2004). Repository of dream reports. Retrieved from https://www.dreambank.net.
Laplanche, J. (1985). Fantasme originaire, fantasmes des origines, origines du fantasme. Paris: Hachette.
Laplanche, J. (1999). Interview, pp. 31-41. Retrieved from https://www.radicalphilosophyarchive.com/
wp-content/files_mf/rp102_interview_laplanche.pdf
Le Roux, B, & Rouanet, H. (2004). Geometric data analysis: From correspondence analysis to structured data analysis. Dordrecht, The Netherlands: Kluwer.
Luborsky, L. (1984). Principles of psychoanalytic psychotherapy. A manual for supportive-expressive treatment. New York, NY: Basic Books Inc.
Luborsky L., & Crits-Christoph, P. (1990). Understanding transference. The CCRT Method. New York, NY: Basic Books Inc.
Murtagh, F. (2014a). Pattern recognition in mental processes: determining vestiges of the subconscious through ultrametric component analysis. In S. Patel, Y. Wang, W. Kinsner, D. Patel, G. Fariello and L.A. Zadeh (Eds.), Proc. ICCI*CC 2014, 2014 IEEE 13th International Conference on Cognitive Informatics and Cognitive Computing (pp. 155-161). (Joint organiser and chair of session A5, Computational Psychoanalysis).
Murtagh, F. (2014b). Pattern recognition of subconscious underpinnings of cognition using ultrametric topological mapping of thinking and memory. International Journal of Cognitive Informatics and Natural Intelligence (IJCINI), 8, 1-16. (Also Guest Editor of this Special Issue on Computational Psychoanalysis.)
Murtagh, F. (2015). Correspondence factor analysis of big data sets: A case study of 30 million words; and contrasting analytics using Apache Solr and correspondence analysis in R. Retrieved from https://arxiv.org/abs/1507.01529
Murtagh, F. (2017). Data science foundations: Geometry and topology of complex hierarchic systems and big data analytics. Boca Raton, FL: Chapman and Hall, CRC Press.
Murtagh, F., & Iurato, G. (2016). Human behaviour, benign or malevolent: understanding the human psyche, performing therapy, based on affective mentalization and Matte-Blanco’s bi-logic, Annals of Translational Medicine, 4. Retrieved from http://atm.amegroups.com/issue/view/507
Murtagh, F., & Iurato, G. (2017). Visualization of Jacques Lacan’s registers of the psychoanalytic field, and discovery of metaphor and of metonymy. Analytical case study of Edgar Allan Poe’s “The Purloined Letter”. Language and Psychoanalysis, 6, 26-55.
This is an Open Access journal. All material is licensed under a Creative Commons Attribution 4.0 International (CC BY 4.0) licence, unless otherwise stated.
Please read our Open Access, Copyright and Permissions policies for more information.
