000			03341cam a22005055i 4500
999			_c2058 _d2058
003			OSt
005			20230901120828.0
008			230314t20222022njua b 001 0 eng d
020			_a9780691207544 _q(hardcover)
020			_a0691207542 _q(hardcover)
020			_a9780691207551 _q(paperback)
020			_a0691207550 _q(paperback)
020			_z9780691207551 _qelectronic book
020			_z9780691207995 _qebook
035			_a(OCoLC)on1295105650
040			_aUKMGB _beng _cUKMGB _erda _dOCLCO _dGZN _dOCLCF _dUSD _dYDX _dPIT _dOCLCO _dGUA _dMBB _dSFB _dQGQ _dNWQ _dEAU _dQGK _dUND _dUKMGB _dQGJ _dDLC
084			_a70.03 _2bcl
100	1		_aGrimmer, Justin, _97225
100	1		_aStewart, Brandon M. _97226
100	1		_aRoberts, Margaret E. _97227
245	1	0	_aText as Data: A New Framework for Machine Learning and the Social Sciences
264		1	_aPrinceton : _bPrinceton University Press, _c[2022]
264		4	_c©2022
300			_axix, 336 pages : _billustrations ; _c26 cm
336			_atext _btxt _2rdacontent
336			_astill image _bsti _2rdacontent
337			_aunmediated _bn _2rdamedia
338			_avolume _bnc _2rdacarrier
504			_aIncludes bibliographical references (pages [307]-329) and index.
520			_a"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. Meanwhile new machine learning tools are rapidly transforming the way science and business are conducted. Text as Data shows how to combine new sources of data, machine learning tools, and social science research design to develop and evaluate new insights.Text as Data is organized around the core tasks in research projects using text--representation, discovery, measurement, prediction, and causal inference. The authors offer a sequential, iterative, and inductive approach to research design. Each research task is presented complete with real-world applications, example methods, and a distinct style of task-focused research. Bridging many divides--computer science and social science, the qualitative and the quantitative, and industry and academia--Text as Data is an ideal resource for anyone wanting to analyze large collections of text in an era when data is abundant and computation is cheap, but the enduring challenges of social science remain." --Page 4 of cover.
650		0	_aText data mining. _97228
650		0	_aSocial sciences _xData processing. _97229
650		0	_aMachine learning. _96995
650		6	_aSciences sociales _xInformatique. _97230
650		6	_aApprentissage automatique. _97231
650		7	_aMachine learning. _2fast _0(OCoLC)fst01004795 _96995
650		7	_aSocial sciences _xData processing. _2fast _0(OCoLC)fst01122901 _97229
650		7	_aText data mining. _2fast _0(OCoLC)fst02008831 _97228
700	1		_aRoberts, Margaret E., _eauthor. _4aut _1https://isni.org/isni/0000000483580847 _97232
700	1		_aStewart, Brandon M., _eauthor. _4aut _97233
856			_3Details (Publisher) _uhttps://press.princeton.edu/books/paperback/9780691207551/text-as-data
906			_a0 _bibc _ccopycat _d1 _encip _f20 _gy-gencatlg
942			_2JEL _cBO