Text as data : a new framework for machine learning and the social sciences /

"From social media posts and text messages to digital government documents and archives, researchers are bombarded with a deluge of text reflecting the social world. This textual data gives unprecedented insights into fundamental questions in the social sciences, humanities, and industry. Meanw...

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Bibliographic Details
Main Authors:	Grimmer, Justin (Author, http://id.loc.gov/vocabulary/relators/aut), Roberts, Margaret E (Author), Roberts, Margaret E. (http://id.loc.gov/vocabulary/relators/aut), Stewart, Brandon M (Author), Stewart, Brandon M. (http://id.loc.gov/vocabulary/relators/aut), Stewart, Brandon (Political scientist) (Author)
Format:	Book
Language:	English
Published:	Princeton : Princeton University Press, [2022] Princeton, NJ : [2022] Princeton, New Jersey : [2022]
Subjects:	Machine learning > ^A1036058 Machine learning Social sciences > Data processing > ^A1062043 Social sciences > Data processing Text data mining > ^A3796179 Text data mining Apprentissage automatique Sciences sociales > Informatique

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