Quantitative analysis of culture using millions of digitized books

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...

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Vydáno v:	Science (American Association for the Advancement of Science) Ročník 331; číslo 6014; s. 176
Hlavní autoři:	Michel, Jean-Baptiste, Shen, Yuan Kui, Aiden, Aviva Presser, Veres, Adrian, Gray, Matthew K, Pickett, Joseph P, Hoiberg, Dale, Clancy, Dan, Norvig, Peter, Orwant, Jon, Pinker, Steven, Nowak, Martin A, Aiden, Erez Lieberman
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	United States 14.01.2011
Témata:	Algorithms Cultural Evolution Culture Data Collection Dictionaries as Topic Encyclopedias as Topic Famous Persons Humanities Linguistics Literature Social Sciences Technology Vocabulary
ISSN:	1095-9203, 1095-9203
On-line přístup:	Zjistit podrobnosti o přístupu
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!

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.
AbstractList	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. 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.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.
Author	Nowak, Martin A Norvig, Peter Orwant, Jon Pinker, Steven Shen, Yuan Kui Veres, Adrian Aiden, Aviva Presser Hoiberg, Dale Clancy, Dan Pickett, Joseph P Gray, Matthew K Aiden, Erez Lieberman Michel, Jean-Baptiste
Author_xml	– sequence: 1 givenname: Jean-Baptiste surname: Michel fullname: Michel, Jean-Baptiste email: jb.michel@gmail.com organization: Program for Evolutionary Dynamics, Harvard University, Cambridge, MA 02138, USA. jb.michel@gmail.com – sequence: 2 givenname: Yuan Kui surname: Shen fullname: Shen, Yuan Kui – sequence: 3 givenname: Aviva Presser surname: Aiden fullname: Aiden, Aviva Presser – sequence: 4 givenname: Adrian surname: Veres fullname: Veres, Adrian – sequence: 5 givenname: Matthew K surname: Gray fullname: Gray, Matthew K – sequence: 6 givenname: Joseph P surname: Pickett fullname: Pickett, Joseph P – sequence: 7 givenname: Dale surname: Hoiberg fullname: Hoiberg, Dale – sequence: 8 givenname: Dan surname: Clancy fullname: Clancy, Dan – sequence: 9 givenname: Peter surname: Norvig fullname: Norvig, Peter – sequence: 10 givenname: Jon surname: Orwant fullname: Orwant, Jon – sequence: 11 givenname: Steven surname: Pinker fullname: Pinker, Steven – sequence: 12 givenname: Martin A surname: Nowak fullname: Nowak, Martin A – sequence: 13 givenname: Erez Lieberman surname: Aiden fullname: Aiden, Erez Lieberman
BackLink	https://www.ncbi.nlm.nih.gov/pubmed/21163965$$D View this record in MEDLINE/PubMed
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Snippet	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...
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SubjectTerms	Algorithms Cultural Evolution Culture Data Collection Dictionaries as Topic Encyclopedias as Topic Famous Persons Humanities Linguistics Literature Social Sciences Technology Vocabulary
Title	Quantitative analysis of culture using millions of digitized books
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