000			01769cam a2200217 4500500
005			20250121092239.0
041			_afre
042			_adc
100	1	0	_aDalud-Vincent, Monique _eauthor
245	0	0	_aTrial and Critique of Alceste as a Tool for Analyzing Semi-Structured Interviews in Sociology
260			_c2011.
500			_a1
520			_aAs the number of textual analysis software programs increase, sociology is faced with the problem of gauging their suitability. On one hand, they save time insofar as they can process a large volume of texts but, on the other hand, the way in which the data is analyzed and the default hypotheses implemented in these tools require consideration. In this paper, we focus on the Alceste program and, based on a particular set of problems, attempt to deconstruct the way in which it processes text in general and semi-structured interviews, in particular. Reinert constructs a “summary” (among many possible alternatives) of the corpus considered as a whole by taking into account mainly hypotheses on words that concentrate the meaning of a text according to their grammatical category, but also hypotheses on text partitioning into Context Units, while seeking to remain within the “proper” conditions for applying certain statistical tools. This summary and analysis, based on regularities, do not, at any point, incorporate the sociologist’s hypotheses or theoretical viewpoint.
690			_aAlceste
690			_atextual analysis
690			_asociology
690			_ainterview
690			_adata analysis
786	0		_nLangage et société | o 135 | 1 | 2011-04-01 | p. 9-28 | 0181-4095
856	4	1	_uhttps://shs.cairn.info/journal-langage-et-societe-2011-1-page-9?lang=en&redirect-ssocas=7080
999			_c513544 _d513544