Schizophrenia: The Quest for a Minimum Sense of Identity to Ward off Delusional Disorder

Abstract

In studies of language production by subjects suffering from schizophrenia, it is necessary to distinguish between patients with positive symptoms and those with negative symptoms. The speech patterns of these 2 groups have to be analyzed separately, which has not been done previously, since the groups differ in too many respects.

Textual analysis of internal medicine residency personal statements: themes and gender differences

“…Linguistic analysis of the corpora was performed using two independent contextual analysis software programs, Alceste version 2012 enterprise (Image‐Zafar.com, Toulouse, France) and t‐lab version 9.0 (Franco Lancia, Frosinone, Italy). These programs are widely used for linguistic analysis in the social sciences . Both software applications analyse the corpus as a single document, systematically identifying elementary contextual units (ECUs) embedded in the corpus.…”

“…Recently, large‐scale textual analysis, made possible by advances in computational power and software development, has transformed the field of linguistic analysis. Software packages have been shown to effectively analyse textual data in the social science arenas of political science, psychology, sociology and economics . Such large‐scale data analyses are able to combine thousands of documents and generate reproducible findings and conclusions.…”

Father’s role in supporting breastfeeding of preterm infants in the neonatal intensive care unit: a qualitative study

“…The Alceste software, based on Benzecri's contribution to textual statistics, 26 was created and developed by Reinert to detect and classify underlying discourse and narrative structures. 27 This software has been applied in sociology, psychology and political science. It helps to identify the main speech patterns, ways of speaking and reflecting.…”

Text Mining for Central Banks

“…;Bauer (2000);Brugidou (2000);Brugidou (2003);Noel-Jorand et al (2004);Schonhardt-Bailey (2005);Schonhardt-Bailey (2006);Bara et al (2007); Schonhardt-Bailey (2008); Schonhardt-Bailey et al (2012); Weale et al (2012); Schonhardt-Bailey (2013); Vallès and Schonhardt-Bailey (2015)). Peart (2013) uses Alceste to study whether MPC members' preferences are stable over time.…”