| Tag |
First Indicator |
Second Indicator |
Subfields |
| LEADER |
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190122s2019 enk--- f o vleng d |
| 005 |
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|
|
|a (OCoLC)on1091268592
|
| 040 |
|
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|a SGPBL
|b eng
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| 020 |
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|a 9781526491879
|q (streaming video)
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|a 1526491877
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|a (OCoLC)1091268592
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|j eng
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| 050 |
|
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|a QA76.9.H84
|b D48 2019
|
| 070 |
0 |
|
|a QA76.9.H84
|b D48 2019
|
| 082 |
0 |
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|a 004.019
|2 23
|
| 049 |
|
|
|a TXAM
|
| 245 |
0 |
0 |
|a Developing a method to code text using crowdsourcing.
|
| 264 |
|
1 |
|a London :
|b SAGE Publications Ltd,
|c 2019.
|
| 300 |
|
|
|a 1 online resource (1 video file (00:11:45)) :
|b sound, colour
|
| 336 |
|
|
|a two-dimensional moving image
|b tdi
|2 rdacontent
|
| 337 |
|
|
|a computer
|b c
|2 rdamedia
|
| 337 |
|
|
|a video
|b v
|2 rdamedia
|
| 338 |
|
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|a online resource
|b cr
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|
| 511 |
0 |
|
|a Academic, Ken Benoit PhD.
|
| 520 |
8 |
|
|a Ken Benoit, PhD, Professor at the London School of Economics in the Department of Methodology, discusses his research on whether crowdsourced, untrained, anonymous coders could replace highly-trained experts in analyzing text. The accuracy of the approach, challenges, advantages, parameters considered, and the future of big data in analyzing text are all considered.
|
| 546 |
|
|
|a Closed-captions in English.
|
| 588 |
|
|
|a Description based on XML content.
|
| 650 |
|
0 |
|a Crowdsourcing
|x Research.
|
| 650 |
|
0 |
|a Research
|x Methodology.
|
| 650 |
|
0 |
|a Big data.
|
| 650 |
|
0 |
|a Text processing (Computer science)
|
| 650 |
|
0 |
|a Word processing operations.
|
| 650 |
|
0 |
|a Word processing.
|
| 650 |
|
6 |
|a Externalisation ouverte
|x Recherche.
|
| 650 |
|
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|a Recherche
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|
| 650 |
|
6 |
|a Données volumineuses.
|
| 650 |
|
6 |
|a Traitement de texte.
|
| 650 |
|
7 |
|a Word processing operations
|2 fast
|
| 650 |
|
7 |
|a Word processing
|2 fast
|
| 650 |
|
7 |
|a Big data
|2 fast
|
| 650 |
|
7 |
|a Research
|x Methodology
|2 fast
|
| 650 |
|
7 |
|a Text processing (Computer science)
|2 fast
|
| 700 |
1 |
|
|a Benoit, Ken,
|e on-screen presenter.
|
| 856 |
4 |
0 |
|u http://proxy.library.tamu.edu/login?url=https://methods.sagepub.com/video/developing-a-method-to-code-text-using-crowdsourcing
|z Connect to this streaming video
|t 0
|
| 955 |
|
|
|a SAGE Research Methods Video Data Science, Big Data Analytics, and Digital Methods
|
| 994 |
|
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|
| 952 |
f |
f |
|a Texas A&M University
|b College Station
|c Electronic Resources
|d Available Online
|t 0
|e QA76.9.H84 D48 2019
|h Library of Congress classification
|
| 998 |
f |
f |
|a QA76.9.H84 D48 2019
|t 0
|l Available Online
|