| Tag |
First Indicator |
Second Indicator |
Subfields |
| LEADER |
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| 001 |
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| 006 |
m o c |
| 007 |
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| 007 |
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| 008 |
190508s2019 enk--- f o vleng d |
| 005 |
20241105202940.2 |
| 035 |
|
|
|a (OCoLC)on1103507731
|
| 040 |
|
|
|a SGPBL
|b eng
|e rda
|e pn
|c SGPBL
|d OCLCO
|d OCLCF
|d AGL
|d OCLCO
|d OCLCQ
|d OCLCO
|
| 020 |
|
|
|a 9781526499974
|q (streaming video)
|
| 020 |
|
|
|a 1526499975
|
| 035 |
|
|
|a (OCoLC)1103507731
|
| 041 |
0 |
|
|j eng
|
| 050 |
|
4 |
|a QA76.9.D343
|b U85 2019
|
| 070 |
0 |
|
|a QA76.9.D343
|b U85 2019
|
| 082 |
0 |
4 |
|a 006.312
|
| 049 |
|
|
|a TXAM
|
| 245 |
0 |
0 |
|a Using web scraping and machine learning to study political polarization.
|
| 264 |
|
1 |
|a London :
|b SAGE Publications Ltd,
|c 2019.
|
| 300 |
|
|
|a 1 online resource (1 video file (00:19:11)) :
|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 |
|
|
|a online resource
|b cr
|2 rdacarrier
|
| 511 |
0 |
|
|a Speaker, Patrick van Kessel.
|
| 520 |
8 |
|
|a Patrick van Kessel, Senior Data Scientist, Data Labs at Pew Research Center, discusses the use of web scraping and machine learning to study political polarization, including the difference between survey data and organic data, recent research projects and the use of machine learning, how social scientists and data scientists collaborate at the Pew Research Center, the outcome of building a new machine-learning process, typical roles for data scientists at the Pew Research Center, and his interest in computational social science.
|
| 546 |
|
|
|a Closed-captions in English.
|
| 588 |
|
|
|a Description based on XML content.
|
| 650 |
|
0 |
|a Data mining.
|
| 650 |
|
0 |
|a Automatic data collection systems.
|
| 650 |
|
0 |
|a Social sciences
|x Research
|x Data processing.
|
| 650 |
|
0 |
|a Machine learning.
|
| 650 |
|
0 |
|a Polarization (Social sciences)
|x Research
|x Methodology.
|
| 650 |
|
2 |
|a Data Mining
|
| 650 |
|
2 |
|a Machine Learning
|
| 650 |
|
6 |
|a Exploration de données (Informatique)
|
| 650 |
|
6 |
|a Collecte automatique des données.
|
| 650 |
|
6 |
|a Sciences sociales
|x Recherche
|x Informatique.
|
| 650 |
|
6 |
|a Apprentissage automatique.
|
| 650 |
|
6 |
|a Polarisation collective
|x Recherche
|x Méthodologie.
|
| 650 |
|
7 |
|a Automatic data collection systems
|2 fast
|
| 650 |
|
7 |
|a Data mining
|2 fast
|
| 650 |
|
7 |
|a Machine learning
|2 fast
|
| 650 |
|
7 |
|a Social sciences
|x Research
|x Data processing
|2 fast
|
| 700 |
1 |
|
|a van Kessel, Patrick,
|e Speaker.
|
| 856 |
4 |
0 |
|u http://proxy.library.tamu.edu/login?url=https://methods.sagepub.com/video/using-web-scraping-and-machine-learning-to-study-political-polarization
|z Connect to this streaming video
|t 0
|
| 955 |
|
|
|a SAGE Research Methods Video Data Science, Big Data Analytics, and Digital Methods
|
| 994 |
|
|
|a 92
|b TXA
|
| 999 |
f |
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|t 0
|
| 952 |
f |
f |
|a Texas A&M University
|b College Station
|c Electronic Resources
|d Available Online
|t 0
|e QA76.9.D343 U85 2019
|h Library of Congress classification
|
| 998 |
f |
f |
|a QA76.9.D343 U85 2019
|t 0
|l Available Online
|