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955			_wrm15 2023-09-20 (telework)
008			230920s2023 nyu b 001 0 eng
010			_a 2023033955
072			_aSHS
020			_a9780197756881 _q(paperback)
040			_aDLC _beng _erda _cDLC
042			_apcc
050	0	0	_aH61 _b.S874 2023
082	0	0	_a300.72/1 _223/eng/20230920
100	1		_aStoltz, Dustin S., _eauthor.
245	1	0	_aMapping texts : _bcomputational text analysis for the social sciences / _cDustin S. Stoltz, Marshall A. Taylor.
260			_aNew York, NY : _bOxford University Press, _c[2023]
300			_apages cm
336			_atext _btxt _2rdacontent
337			_aunmediated _bn _2rdamedia
338			_avolume _bnc _2rdacarrier
490	0		_aComputational social science series
504			_aIncludes bibliographical references and index.
520			_a"Mining is the dominant metaphor in computational text analysis. When mining texts, the implied assumption is that analysts can find kernels of truth-they just have to sift through rubbish first. In this book, Stoltz and Taylor encourage text analysts to work with a different metaphor in mind: that of mapping. When mapping texts, the goal is not necessarily to find these meaningful needles in the haystack, but instead to create reductions of the text to document patterns. Just like with cartographic maps, though, the type and nature of the textual map is dependent on a range of decisions on the part of the researcher. Creating reproducible workflows is therefore critical for the text analyst. Mapping Texts offers a practical introduction to computational text analysis with step-by-step guides on how to conduct actual text analysis workflows in the R statistical computing environment. The focus is on social science questions and applications, with data ranging from fake news and presidential campaigns to Star Trek and pop stars. The book walks the reader through all facets of a text analysis workflow-from understanding the theories of language embedded in text analysis all the way to more advanced and cutting-edge techniques. The book should prove useful not only to social scientists, but anyone interested in conducting text analysis projects"-- _cProvided by publisher.
650		0	_aSocial sciences _xMethodology.
650		0	_aText data mining.
650		0	_aQualitative research.
700	1		_aTaylor, Marshall A., _d1989- _eauthor.
776	0	8	_iOnline version: _aStoltz, Dustin S. _tMapping texts _dNew York, NY : Oxford University Press, [2023] _z9780197756904 _w(DLC) 2023033956
095			_anyu
999			_c833221 _d833221