Jean-Philippe Cointet, Sylvain Parasie« Ce que le big data fait à l’analyse sociologique des textes. Un panorama critique des recherches contemporaines », Revue française de sociologie 2018/3 (Vol. 59), p. 533-557.
On October, 2018 the Revue Française de sociologie published a review of recent research in big data and sociological analysis of texts wrote by Jean-Philippe Cointet and Sylvain Parasie.
Since the 2000s, new techniques of text analysis have emerged at the crossroads of computer science, artificial intelligence and natural language processing. Although they were developed independently of any sociological theory, these methods are now being used by researchers—sociologists and non-sociologists alike—to produce new knowledge of the social domain exploiting the massive volume of textual materials now available. By providing an overview of recent sociological investigations that are based on quantitative analyses of textual corpora, this article identifies three conditions under which these approaches can be a resource for sociological inquiry. The three conditions that emerge from our analysis concern: 1) knowledge of the context of production of textual inscriptions; 2) integration of external data into the study itself; 3) the adaptation of algorithms for sociological reasoning.
Big data, Digital traces, Textual corpora, Lexicometry, Semantic networks, Epistemology, Artificial intelligence, Automatic language processing.