Seeking Meaning in the Incomprehensibility of Delusional Speech: A Narrative, Semiotic, and AI-Based Analysis
Description
This work explores the meaning-seeking function within delusional speech, challenging the biomedical paradigm that interprets psychosis as pure dysfunction.
Through a narrative and semiotic lens, supported by computational semantic analysis and AI-assisted modeling, the author demonstrates that delusional discourse can be read as a coherent narrative of crisis and transformation, rather than a loss of reason.
The manuscript integrates Greimas’ and Propp’s structural narratology, Goffman’s dramaturgical perspective, and recent advances in topic modeling and natural language processing.
It argues that what appears incomprehensible often conceals a meaningful reorganization of identity and desire, and that psychiatry must rediscover its humanistic roots by listening to patients’ words as literature of the self.
This is the full manuscript of a larger project aimed at redefining the boundaries between madness, narrative, and meaning — an attempt to restore dignity and interpretability to psychotic language through dialogue between phenomenology and artificial intelligence.
Abstract (Italian Sign Language)
Questo lavoro esplora la funzione di ricerca di senso all’interno del linguaggio delirante, mettendo in discussione il paradigma biomedico che interpreta la psicosi come pura disfunzione.
Attraverso una lente narrativa e semiotica, supportata dall’analisi semantica computazionale e dai modelli di intelligenza artificiale, l’autore mostra come il discorso delirante possa essere letto come una narrazione coerente di crisi e trasformazione, non come perdita di ragione.
Il manoscritto integra la struttura narrativa di Greimas e Propp, la prospettiva drammaturgica di Goffman e gli sviluppi più recenti del topic modeling e dell’analisi linguistica automatica.
Propone di restituire dignità e intelligibilità al linguaggio psicotico, attraverso un dialogo fra fenomenologia e intelligenza artificiale.
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Additional details
Dates
- Available
-
2025-10-04First public release on Zenodo