What Big data does to the sociological analysis of texts? A review of recent research

被引:8
作者
Cointet, Jean-Philippe [1 ]
Parasie, Sylvain [2 ]
机构
[1] Sci Po, Medialab, 27,Rue St Guillaume, F-75337 Paris 07, France
[2] Univ Paris Est Marne la Vallee, LISIS, 5,Blvd Descartes, F-77420 Champs Sur Marne, France
来源
REVUE FRANCAISE DE SOCIOLOGIE | 2018年 / 59卷 / 03期
关键词
BIG DATA; DIGITAL TRACES; TEXTUAL CORPORA; LEXICOMETRY; SEMANTIC NETWORKS; EPISTEMOLOGY; ARTIFICIAL INTELLIGENCE; AUTOMATIC LANGUAGE PROCESSING; SENTIMENT ANALYSIS; CULTURE; LANGUAGE; CORPORA; CRISIS;
D O I
10.3917/rfs.593.0533
中图分类号
C91 [社会学];
学科分类号
030301 ; 1204 ;
摘要
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.
引用
收藏
页码:533 / 557
页数:25
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