Computational analysis of communication : a practical introduction to the analysis of texts, networks, and images with code examples in Python and R (Record no. 30814)

000 -LEADER
fixed length control field a
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 220616b xxu||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781119680239
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 302.3072
Item number ATT
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Atteveldt, Wouter van
245 ## - TITLE STATEMENT
Title Computational analysis of communication : a practical introduction to the analysis of texts, networks, and images with code examples in Python and R
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Name of publisher, distributor, etc Wiley Blackwell,
Date of publication, distribution, etc 2022
Place of publication, distribution, etc Hoboken :
300 ## - PHYSICAL DESCRIPTION
Extent xiii, 314 p. ;
Other physical details ill.,
Dimensions 26 cm
365 ## - TRADE PRICE
Price amount 49.95
Price type code USD
Unit of pricing 81.20
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc Includes bibliographical references and index.
520 ## - SUMMARY, ETC.
Summary, etc The use of computers is nothing new in the social sciences. In fact, one could argue that some disciplines within the social sciences have even be early adopters of computational approaches. Take the gathering and analyzing of large-scale survey data, dating back until the use of the Hollerith Machine in the 1890 US census. Long before every scholar had a personal computer on their desk, social scientists were using punch cards and mainframe computers to deal with such data. If we think of the analysis of communication more specifically, we see attempts to automate content analysis already in the 1960's [see, e.g. Scharkow, 2017]. Yet, something has profoundly changed in the last decades. The amount and kind of data we can collect as well as the computational power we have access to have increased dramatically. In particular, digital traces that we leave when communicating online, from access logs to comments we place, have required new approaches [e.g., Trilling, 2017]. At the same time, better computational facilities now allow us to ask questions we could not answer before.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Social sciences
Topical term or geographic name as entry element Network analysis
Topical term or geographic name as entry element Communication
Topical term or geographic name as entry element Data processing
Topical term or geographic name as entry element Computational linguistics
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Trilling, Damian
Personal name Calderon, Carlos Arcila
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme
Item type Books
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Permanent location Current location Date acquired Cost, normal purchase price Full call number Barcode Date last seen Koha item type
          DAIICT DAIICT 2022-06-12 4055.94 302.3072 ATT 033080 2022-06-16 Books

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