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Quantitative analysis of culture using millions of digitized books

Identifieur interne : 000095 ( Pmc/Corpus ); précédent : 000094; suivant : 000096

Quantitative analysis of culture using millions of digitized books

Auteurs : Jean-Baptiste Michel ; Yuan Kui Shen ; Aviva P. Aiden ; Adrian Veres ; Matthew K. Gray ; Joseph P. Pickett ; Dale Hoiberg ; Dan Clancy ; Peter Norvig ; Jon Orwant ; Steven Pinker ; Martin A. Nowak ; Erez Lieberman Aiden

Source :

RBID : PMC:3279742

Abstract

We constructed a corpus of digitized texts containing about 4% of all books ever printed. Analysis of this corpus enables us to investigate cultural trends quantitatively. We survey the vast terrain of ‘culturomics’, focusing on linguistic and cultural phenomena that were reflected in the English language between 1800 and 2000. We show how this approach can provide insights about fields as diverse as lexicography, the evolution of grammar, collective memory, the adoption of technology, the pursuit of fame, censorship, and historical epidemiology. ‘Culturomics’ extends the boundaries of rigorous quantitative inquiry to a wide array of new phenomena spanning the social sciences and the humanities.


Url:
DOI: 10.1126/science.1199644
PubMed: 21163965
PubMed Central: 3279742

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{{Explor lien
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   |type=    RBID
   |clé=     PMC:3279742
   |texte=   Quantitative analysis of culture using millions of digitized books
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