000			03670nam a2200517 i 4500
001			9255849
003			IEEE
005			20220712204956.0
006			m o d
007			cr |n|||||||||
008			201203s2008 maua ob 001 eng d
020			_a9780262360647 _qelectronic bk.
020			_z9780262037105 _qprint-ISBN
020			_z0262037106 _qprint-ISBN
020			_z0262360640 _qelectronic bk.
024	7		_a10.7551/mitpress/11214.001.0001 _2doi
035			_a(CaBNVSL)mat09255849
035			_a(IDAMS)0b0000648d3b01ab
040			_aCaBNVSL _beng _erda _cCaBNVSL _dCaBNVSL
050		4	_aHV551.2 _b.C863 2018eb
082	0	4	_a360 _223
245	0	0	_aCultural analytics / _cLev Manovich.
264		1	_aCambridge, Massachusetts : _bMIT Press, _c�2018.
264		2	_aBerlin : _bKnowledge Unlatched, _c�2018.
264		2	_a[Piscataqay, New Jersey] : _bIEEE Xplore, _c[2020]
300			_a1 PDF (248 pages) : _billustrations, figures, tables.
336			_atext _2rdacontent
337			_aelectronic _2isbdmedia
338			_aonline resource _2rdacarrier
506			_aRestricted to subscribers or individual electronic text purchasers.
520			_a"A book at the intersection of data science and media studies, presenting concepts and methods for computational analysis of cultural data.How can we see a billion images? What analytical methods can we bring to bear on the astonishing scale of digital culture--the terabytes of photographs shared on social media every day, the hundreds of millions of songs created by twenty million musicians on Sound Cloud, the content of four billion Pinterest boards? In Cultural Analytics, Lev Manovich presents concepts and methods for computational analysis of cultural data, with a particular focus on visual media. Drawing on more than a decade of research and projects from his own lab, Manovich--the founder of the field of cultural analytics--offers a gentle, nontechnical introduction to selected key concepts of data science and discusses the ways that our society uses data and algorithms.Manovich offers examples of computational cultural analysis and discusses the shift from new media to more media; explains how to turn cultural processes into computational data; and introduces concepts for exploring cultural datasets using data visualization as well as other recently developed methods for analyzing image and video datasets. He considers both the possibilities and the limitations of computational methods, and how using them challenges our existing ideas about culture and how to study it. Cultural Analytics is a book of media theory. Arguing that before we can theorize digital culture, we need to see it, and that, because of its scale, to see it we need computers, Manovich provides scholars with practical tools for studying contemporary media."-- _cProvided by publisher.
530			_aAlso available in print.
536			_aKnowledge Unlatched _c101618 _bKU Select 2017 Front List Collection
538			_aMode of access: World Wide Web
588			_aDescription based on PDF viewed 12/03/2020.
650		0	_aCulture _xResearch _xStatistical methods. _926000
650		0	_aCulture _xResearch _xData processing. _926001
650		0	_aMass media _xResearch _xStatistical methods. _926002
650		0	_aMass media _xResearch _xData processing. _926003
650		0	_aInformation visualization. _914255
655		4	_aElectronic books. _93294
710	2		_aIEEE Xplore (Online Service), _edistributor. _926004
710	2		_aMIT Press, _epublisher. _926005
856	4	2	_3Abstract with links to resource _uhttps://ieeexplore.ieee.org/xpl/bkabstractplus.jsp?bkn=9255849
942			_cEBK
999			_c73659 _d73659