Cultural analytics

"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 shar...
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Gespeichert in:

Format:	E-Book
Sprache:	Englisch

Erschienen:	Cambridge, Massachusetts: MIT Press ; Ã2018

Rechteinformationen:	Restricted to subscribers or individual electronic text purchasers.

Schlagwörter:	Culture ; Research ; Statistical methods Culture ; Research ; Data processing Mass media ; Research ; Statistical methods Mass media ; Research ; Data processing Information visualization

Anmerkung:	Description based on PDF viewed 12/03/2020
Umfang:	1 PDF (248 pages) ; illustrations, figures, tables.
Beschreibung:	Mode of access: World Wide Web.

Links:	Link aufrufen Link aufrufen
ISBN:	978-0-262-36064-7

DOI / URN:	10.7551/mitpress/11214.001.0001

Katalog-ID:	1860731392

Internformat


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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."--
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Indexfelder

matchkey_str	book:9780262360647:2008----
oclc_num	1407119206
hierarchy_sort_str	Ã2018
publishDate	2008
allfields	9780262360647 electronic bk. 978-0-262-36064-7 10.7551/mitpress/11214.001.0001 doi (DE-627)1860731392 (DE-599)KEP062310089 (OCoLC)1407119206 (MITPRESS)9255849 (EBP)062310089 DE-627 ger DE-627 rda eng 360 23 Cultural analytics Lev Manovich Cambridge, Massachusetts MIT Press Ã2018 1 PDF (248 pages) illustrations, figures, tables. Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Description based on PDF viewed 12/03/2020 Restricted to subscribers or individual electronic text purchasers. "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."-- Mode of access: World Wide Web. Culture ; Research ; Statistical methods Culture ; Research ; Data processing Mass media ; Research ; Statistical methods Mass media ; Research ; Data processing Information visualization https://ieeexplore.ieee.org/book/9255849 X:MITPRESS Verlag lizenzpflichtig ZDB-37-IEM 2020 GBV_ILN_22 ISIL_DE-18 SYSFLAG_1 GBV_KXP GBV_ILN_22_i22818 GBV_ILN_23 ISIL_DE-830 GBV_ILN_62 ISIL_DE-28 GBV_ILN_100 ISIL_DE-Ma9 GBV_ILN_370 ISIL_DE-1373 BO 045F 360 22 01 0018 4391550490 olrm-h228-MITIEEE zi22818 17-10-23 23 01 0830 4391553570 olr-MIT i z 17-10-23 62 01 0028 4391568985 OLR-MIT Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Die Weitergabe an Dritte sowie systematisches Downloaden sind untersagt. z 17-10-23 100 01 3100 4472471264 09 --%%-- eBook MIT Press --%%-- --%%-- OLR-MIT-CEC Vervielfältigungen (z.B. Kopien, Downloads) sind nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Keine Weitergabe an Dritte. Kein systematisches Downloaden durch Robots. z 30-01-24 370 01 4370 4391539020 olr-ebook mitieee Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Keine Weitergabe an Dritte. Kein systematisches Downloaden durch Robots. i z 17-10-23 22 01 0018 Volltextzugang Campus https://ieeexplore.ieee.org/book/9255849 22 01 0018 Nur für Angehörige der Universität Hamburg: Volltextzugang von außerhalb des Campus http://emedien.sub.uni-hamburg.de/han/ieee/ieeexplore.ieee.org/book/9255849 23 01 0830 MIT Press EBook https://ieeexplore.ieee.org/book/9255849 62 01 0028 https://ieeexplore.ieee.org/book/9255849 100 01 3100 https://ieeexplore.ieee.org/book/9255849 100 01 3100 für Uniangehörige: Zugang weltweit http://han.med.uni-magdeburg.de/han/mitvia-ieee/ieeexplore.ieee.org/book/9255849 370 01 4370 E-Book: Zugriff im HCU-Netz. Zugriff von außerhalb nur für HCU-Angehörige möglich https://ieeexplore.ieee.org/book/9255849 23 01 0830 2018-01805, 2018-01806, 2018-01808 22 01 0018 olrm-h228-MITIEEE 23 01 0830 olr-MIT 62 01 0028 OLR-MIT 100 01 3100 OLR-MIT-CEC 370 01 4370 olr-ebook mitieee 370 01 4370 2021.12.01
spelling	9780262360647 electronic bk. 978-0-262-36064-7 10.7551/mitpress/11214.001.0001 doi (DE-627)1860731392 (DE-599)KEP062310089 (OCoLC)1407119206 (MITPRESS)9255849 (EBP)062310089 DE-627 ger DE-627 rda eng 360 23 Cultural analytics Lev Manovich Cambridge, Massachusetts MIT Press Ã2018 1 PDF (248 pages) illustrations, figures, tables. Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Description based on PDF viewed 12/03/2020 Restricted to subscribers or individual electronic text purchasers. "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."-- Mode of access: World Wide Web. Culture ; Research ; Statistical methods Culture ; Research ; Data processing Mass media ; Research ; Statistical methods Mass media ; Research ; Data processing Information visualization https://ieeexplore.ieee.org/book/9255849 X:MITPRESS Verlag lizenzpflichtig ZDB-37-IEM 2020 GBV_ILN_22 ISIL_DE-18 SYSFLAG_1 GBV_KXP GBV_ILN_22_i22818 GBV_ILN_23 ISIL_DE-830 GBV_ILN_62 ISIL_DE-28 GBV_ILN_100 ISIL_DE-Ma9 GBV_ILN_370 ISIL_DE-1373 BO 045F 360 22 01 0018 4391550490 olrm-h228-MITIEEE zi22818 17-10-23 23 01 0830 4391553570 olr-MIT i z 17-10-23 62 01 0028 4391568985 OLR-MIT Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Die Weitergabe an Dritte sowie systematisches Downloaden sind untersagt. z 17-10-23 100 01 3100 4472471264 09 --%%-- eBook MIT Press --%%-- --%%-- OLR-MIT-CEC Vervielfältigungen (z.B. Kopien, Downloads) sind nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Keine Weitergabe an Dritte. Kein systematisches Downloaden durch Robots. z 30-01-24 370 01 4370 4391539020 olr-ebook mitieee Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Keine Weitergabe an Dritte. Kein systematisches Downloaden durch Robots. i z 17-10-23 22 01 0018 Volltextzugang Campus https://ieeexplore.ieee.org/book/9255849 22 01 0018 Nur für Angehörige der Universität Hamburg: Volltextzugang von außerhalb des Campus http://emedien.sub.uni-hamburg.de/han/ieee/ieeexplore.ieee.org/book/9255849 23 01 0830 MIT Press EBook https://ieeexplore.ieee.org/book/9255849 62 01 0028 https://ieeexplore.ieee.org/book/9255849 100 01 3100 https://ieeexplore.ieee.org/book/9255849 100 01 3100 für Uniangehörige: Zugang weltweit http://han.med.uni-magdeburg.de/han/mitvia-ieee/ieeexplore.ieee.org/book/9255849 370 01 4370 E-Book: Zugriff im HCU-Netz. Zugriff von außerhalb nur für HCU-Angehörige möglich https://ieeexplore.ieee.org/book/9255849 23 01 0830 2018-01805, 2018-01806, 2018-01808 22 01 0018 olrm-h228-MITIEEE 23 01 0830 olr-MIT 62 01 0028 OLR-MIT 100 01 3100 OLR-MIT-CEC 370 01 4370 olr-ebook mitieee 370 01 4370 2021.12.01
allfields_unstemmed	9780262360647 electronic bk. 978-0-262-36064-7 10.7551/mitpress/11214.001.0001 doi (DE-627)1860731392 (DE-599)KEP062310089 (OCoLC)1407119206 (MITPRESS)9255849 (EBP)062310089 DE-627 ger DE-627 rda eng 360 23 Cultural analytics Lev Manovich Cambridge, Massachusetts MIT Press Ã2018 1 PDF (248 pages) illustrations, figures, tables. Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Description based on PDF viewed 12/03/2020 Restricted to subscribers or individual electronic text purchasers. "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."-- Mode of access: World Wide Web. Culture ; Research ; Statistical methods Culture ; Research ; Data processing Mass media ; Research ; Statistical methods Mass media ; Research ; Data processing Information visualization https://ieeexplore.ieee.org/book/9255849 X:MITPRESS Verlag lizenzpflichtig ZDB-37-IEM 2020 GBV_ILN_22 ISIL_DE-18 SYSFLAG_1 GBV_KXP GBV_ILN_22_i22818 GBV_ILN_23 ISIL_DE-830 GBV_ILN_62 ISIL_DE-28 GBV_ILN_100 ISIL_DE-Ma9 GBV_ILN_370 ISIL_DE-1373 BO 045F 360 22 01 0018 4391550490 olrm-h228-MITIEEE zi22818 17-10-23 23 01 0830 4391553570 olr-MIT i z 17-10-23 62 01 0028 4391568985 OLR-MIT Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Die Weitergabe an Dritte sowie systematisches Downloaden sind untersagt. z 17-10-23 100 01 3100 4472471264 09 --%%-- eBook MIT Press --%%-- --%%-- OLR-MIT-CEC Vervielfältigungen (z.B. Kopien, Downloads) sind nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Keine Weitergabe an Dritte. Kein systematisches Downloaden durch Robots. z 30-01-24 370 01 4370 4391539020 olr-ebook mitieee Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Keine Weitergabe an Dritte. Kein systematisches Downloaden durch Robots. i z 17-10-23 22 01 0018 Volltextzugang Campus https://ieeexplore.ieee.org/book/9255849 22 01 0018 Nur für Angehörige der Universität Hamburg: Volltextzugang von außerhalb des Campus http://emedien.sub.uni-hamburg.de/han/ieee/ieeexplore.ieee.org/book/9255849 23 01 0830 MIT Press EBook https://ieeexplore.ieee.org/book/9255849 62 01 0028 https://ieeexplore.ieee.org/book/9255849 100 01 3100 https://ieeexplore.ieee.org/book/9255849 100 01 3100 für Uniangehörige: Zugang weltweit http://han.med.uni-magdeburg.de/han/mitvia-ieee/ieeexplore.ieee.org/book/9255849 370 01 4370 E-Book: Zugriff im HCU-Netz. Zugriff von außerhalb nur für HCU-Angehörige möglich https://ieeexplore.ieee.org/book/9255849 23 01 0830 2018-01805, 2018-01806, 2018-01808 22 01 0018 olrm-h228-MITIEEE 23 01 0830 olr-MIT 62 01 0028 OLR-MIT 100 01 3100 OLR-MIT-CEC 370 01 4370 olr-ebook mitieee 370 01 4370 2021.12.01
allfieldsGer	9780262360647 electronic bk. 978-0-262-36064-7 10.7551/mitpress/11214.001.0001 doi (DE-627)1860731392 (DE-599)KEP062310089 (OCoLC)1407119206 (MITPRESS)9255849 (EBP)062310089 DE-627 ger DE-627 rda eng 360 23 Cultural analytics Lev Manovich Cambridge, Massachusetts MIT Press Ã2018 1 PDF (248 pages) illustrations, figures, tables. Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Description based on PDF viewed 12/03/2020 Restricted to subscribers or individual electronic text purchasers. "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."-- Mode of access: World Wide Web. Culture ; Research ; Statistical methods Culture ; Research ; Data processing Mass media ; Research ; Statistical methods Mass media ; Research ; Data processing Information visualization https://ieeexplore.ieee.org/book/9255849 X:MITPRESS Verlag lizenzpflichtig ZDB-37-IEM 2020 GBV_ILN_22 ISIL_DE-18 SYSFLAG_1 GBV_KXP GBV_ILN_22_i22818 GBV_ILN_23 ISIL_DE-830 GBV_ILN_62 ISIL_DE-28 GBV_ILN_100 ISIL_DE-Ma9 GBV_ILN_370 ISIL_DE-1373 BO 045F 360 22 01 0018 4391550490 olrm-h228-MITIEEE zi22818 17-10-23 23 01 0830 4391553570 olr-MIT i z 17-10-23 62 01 0028 4391568985 OLR-MIT Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Die Weitergabe an Dritte sowie systematisches Downloaden sind untersagt. z 17-10-23 100 01 3100 4472471264 09 --%%-- eBook MIT Press --%%-- --%%-- OLR-MIT-CEC Vervielfältigungen (z.B. Kopien, Downloads) sind nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Keine Weitergabe an Dritte. Kein systematisches Downloaden durch Robots. z 30-01-24 370 01 4370 4391539020 olr-ebook mitieee Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Keine Weitergabe an Dritte. Kein systematisches Downloaden durch Robots. i z 17-10-23 22 01 0018 Volltextzugang Campus https://ieeexplore.ieee.org/book/9255849 22 01 0018 Nur für Angehörige der Universität Hamburg: Volltextzugang von außerhalb des Campus http://emedien.sub.uni-hamburg.de/han/ieee/ieeexplore.ieee.org/book/9255849 23 01 0830 MIT Press EBook https://ieeexplore.ieee.org/book/9255849 62 01 0028 https://ieeexplore.ieee.org/book/9255849 100 01 3100 https://ieeexplore.ieee.org/book/9255849 100 01 3100 für Uniangehörige: Zugang weltweit http://han.med.uni-magdeburg.de/han/mitvia-ieee/ieeexplore.ieee.org/book/9255849 370 01 4370 E-Book: Zugriff im HCU-Netz. Zugriff von außerhalb nur für HCU-Angehörige möglich https://ieeexplore.ieee.org/book/9255849 23 01 0830 2018-01805, 2018-01806, 2018-01808 22 01 0018 olrm-h228-MITIEEE 23 01 0830 olr-MIT 62 01 0028 OLR-MIT 100 01 3100 OLR-MIT-CEC 370 01 4370 olr-ebook mitieee 370 01 4370 2021.12.01
allfieldsSound	9780262360647 electronic bk. 978-0-262-36064-7 10.7551/mitpress/11214.001.0001 doi (DE-627)1860731392 (DE-599)KEP062310089 (OCoLC)1407119206 (MITPRESS)9255849 (EBP)062310089 DE-627 ger DE-627 rda eng 360 23 Cultural analytics Lev Manovich Cambridge, Massachusetts MIT Press Ã2018 1 PDF (248 pages) illustrations, figures, tables. Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Description based on PDF viewed 12/03/2020 Restricted to subscribers or individual electronic text purchasers. "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."-- Mode of access: World Wide Web. Culture ; Research ; Statistical methods Culture ; Research ; Data processing Mass media ; Research ; Statistical methods Mass media ; Research ; Data processing Information visualization https://ieeexplore.ieee.org/book/9255849 X:MITPRESS Verlag lizenzpflichtig ZDB-37-IEM 2020 GBV_ILN_22 ISIL_DE-18 SYSFLAG_1 GBV_KXP GBV_ILN_22_i22818 GBV_ILN_23 ISIL_DE-830 GBV_ILN_62 ISIL_DE-28 GBV_ILN_100 ISIL_DE-Ma9 GBV_ILN_370 ISIL_DE-1373 BO 045F 360 22 01 0018 4391550490 olrm-h228-MITIEEE zi22818 17-10-23 23 01 0830 4391553570 olr-MIT i z 17-10-23 62 01 0028 4391568985 OLR-MIT Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Die Weitergabe an Dritte sowie systematisches Downloaden sind untersagt. z 17-10-23 100 01 3100 4472471264 09 --%%-- eBook MIT Press --%%-- --%%-- OLR-MIT-CEC Vervielfältigungen (z.B. Kopien, Downloads) sind nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Keine Weitergabe an Dritte. Kein systematisches Downloaden durch Robots. z 30-01-24 370 01 4370 4391539020 olr-ebook mitieee Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Keine Weitergabe an Dritte. Kein systematisches Downloaden durch Robots. i z 17-10-23 22 01 0018 Volltextzugang Campus https://ieeexplore.ieee.org/book/9255849 22 01 0018 Nur für Angehörige der Universität Hamburg: Volltextzugang von außerhalb des Campus http://emedien.sub.uni-hamburg.de/han/ieee/ieeexplore.ieee.org/book/9255849 23 01 0830 MIT Press EBook https://ieeexplore.ieee.org/book/9255849 62 01 0028 https://ieeexplore.ieee.org/book/9255849 100 01 3100 https://ieeexplore.ieee.org/book/9255849 100 01 3100 für Uniangehörige: Zugang weltweit http://han.med.uni-magdeburg.de/han/mitvia-ieee/ieeexplore.ieee.org/book/9255849 370 01 4370 E-Book: Zugriff im HCU-Netz. Zugriff von außerhalb nur für HCU-Angehörige möglich https://ieeexplore.ieee.org/book/9255849 23 01 0830 2018-01805, 2018-01806, 2018-01808 22 01 0018 olrm-h228-MITIEEE 23 01 0830 olr-MIT 62 01 0028 OLR-MIT 100 01 3100 OLR-MIT-CEC 370 01 4370 olr-ebook mitieee 370 01 4370 2021.12.01
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topic_title	360 23 Cultural analytics Lev Manovich Culture ; Research ; Statistical methods Culture ; Research ; Data processing Mass media ; Research ; Statistical methods Mass media ; Research ; Data processing Information visualization
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title_sort	cultural analytics
title_auth	Cultural analytics
abstract	"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."-- Description based on PDF viewed 12/03/2020
abstractGer	"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."-- Description based on PDF viewed 12/03/2020
abstract_unstemmed	"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."-- Description based on PDF viewed 12/03/2020
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