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Cultural Analytics

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eBay item number:256147081734
Last updated on May 26, 2024 07:52:17 PDTView all revisionsView all revisions

Item specifics

Condition
Like New: A book that looks new but has been read. Cover has no visible wear, and the dust jacket ...
Book Title
Cultural Analytics
Artist
Manovich, Lev
ISBN
0262037106
Publication Year
2020
Type
Textbook
Format
Hardcover
Language
English
Publication Name
Cultural Analytics
Item Height
1.1in
Author
Lev Manovich
Item Length
9.3in
Publisher
MIT Press
Item Width
7.4in
Item Weight
29.4 Oz
Number of Pages
336 Pages

About this product

Product Information

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 billions of photographs shared on social media every day, the hundreds of millions of songs created by twenty million musicians on Soundcloud, the content of four billion Pinterest boards? In Cultural Analytics , Lev Manovich presents concepts and methods for computational analysis of cultural data. Drawing on more than a decade of research and projects from his own lab, Manovich offers a gentle, nontechnical introduction to the core ideas of data analytics and discusses the ways that our society uses data and algorithms.

Product Identifiers

Publisher
MIT Press
ISBN-10
0262037106
ISBN-13
9780262037105
eBay Product ID (ePID)
25050015117

Product Key Features

Author
Lev Manovich
Publication Name
Cultural Analytics
Format
Hardcover
Language
English
Publication Year
2020
Type
Textbook
Number of Pages
336 Pages

Dimensions

Item Length
9.3in
Item Height
1.1in
Item Width
7.4in
Item Weight
29.4 Oz

Additional Product Features

Lc Classification Number
Hm623.M365 2020
Table of Content
Introduction: How to See One Billion Images? Part 1: Studying Culture at Scale Chapter 1: From New Media to More Media Chapter 2: The Science of Culture? Chapter 3: Culture Industry and Media Analytics Part 2: Representing Culture as Data Chapter 4: Types of Cultural Data Chapter 5: Cultural Sampling Chapter 6: Metadata and Features Chapter 7: Language, Categories, and Senses Part 3: Exploring Cultural Data Chapter 8: Information Visualization Chapter 9: Exploratory Media Analysis Chapter 10: Methods of Media Visualization Conclusion: Can We Think Without Categories?
Topic
Media Studies, Social Aspects / General, Sociology / General, Anthropology / Cultural & Social
Lccn
2020-003045
Intended Audience
Trade
Illustrated
Yes
Genre
Computers, Social Science

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