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301 to 310 of 388 Results
10273_vi_de_v1_0.tab
Nov 26, 2020 - Training Data for German Sentiment Analysis of Political Communication (SUF edition)
Tabular Data - 448 B - 3 Variables, 13 Observations - UNF:6:Ze7yJiIAaxcdxsnaJ9Kesg==
Documentation
Variable identifiers and descriptions - machine-readable
Training Data for German Sentiment Analysis of Political Communication (SUF edition)
Nov 26, 2020
Haselmayer, Martin; Jenny, Marcelo, 2020, "Training Data for German Sentiment Analysis of Political Communication (SUF edition)", https://doi.org/10.11587/EOPCOB, AUSSDA, V1, UNF:6:wx/QlNpI73mL4r3N+cNhBg== [fileUNF]
Full edition for scientific use. The dataset contains 125871 sentences extracted from Austrian parliamentary debates and party press releases. Press releases were collected under the auspices of the Austrian National Election Study (AUTNES) and cover 6 weeks prior to each national election 1995-2013. Data from parliamentary debates stem from a rand...
10273_da_de_v1_0.zsav
Nov 26, 2020 - Training Data for German Sentiment Analysis of Political Communication (SUF edition)
Unknown - 8.7 MB - MD5: e3f5c926014383e982a9ec524e04e8cc
DataSPSS
Core data file - compressed SPSS format - 7 Variables, 125871 Observations
AUTNES Online Panel Study 2017-2019 (SUF Edition)
Aug 27, 2020
Aichholzer, Julian; Partheymüller, Julia; Wagner, Markus; Kritzinger, Sylvia; Plescia, Carolina; Eberl, Jakob-Moritz; Meyer, Thomas; Berk, Nicolai; Büttner, Nico; Boomgaarden, Hajo; Müller, Wolfgang C., 2020, "AUTNES Online Panel Study 2017-2019 (SUF Edition)", https://doi.org/10.11587/QDETRI, AUSSDA, V1, UNF:6:jWh9B80wrKWKKBH0L+tsug== [fileUNF]
Full edition for scientific use. The AUTNES Online Panel Study 2017–2019 is a thirteen-wave panel that focuses on the Austrian National Parliamentary Election held on 15 October 2017 and 29 September 2019. This survey is part of the Austrian National Election Study (AUTNES).
10096_da_de_v1_0.tab
Aug 27, 2020 - AUTNES Online Panel Study 2017-2019 (SUF Edition)
Tabular Data - 33.9 MB - 3615 Variables, 6624 Observations - UNF:6:euYMN/KWvZnmcEyOjhUQdA==
DataSTATA
Core data file - STATA format - 3615 Variables, 6624 Observations - German
10096_da_de_v1_0.zsav
Aug 27, 2020 - AUTNES Online Panel Study 2017-2019 (SUF Edition)
Unknown - 16.3 MB - MD5: 68217c20a8c8e6abce96474ff0313f5d
DataSPSS
Core data file - compressed SPSS format - 3615 Variables, 6624 Observations - German
10096_da_en_v1_0.tab
Aug 27, 2020 - AUTNES Online Panel Study 2017-2019 (SUF Edition)
Tabular Data - 33.9 MB - 3615 Variables, 6624 Observations - UNF:6:+byRaCn1cbzWgy3vtqfzOg==
DataSTATA
Core data file - STATA format - 3615 Variables, 6624 Observations - English
10096_da_en_v1_0.zsav
Aug 27, 2020 - AUTNES Online Panel Study 2017-2019 (SUF Edition)
Unknown - 16.2 MB - MD5: b4af7c55fa21ec708eb264084872360e
DataSPSS
Core data file - compressed SPSS format - 3615 Variables, 6624 Observations - English
10096_mr_en_v1_0.pdf
10096_mr_en_v1_0.pdf
Aug 27, 2020 - AUTNES Online Panel Study 2017-2019 (SUF Edition)
Adobe PDF - 669.9 KB - MD5: b913bdd1955d0bcbe6c6adc0135e5966
DocumentationMethod report
Method report
10096_om_en_v1_0.zip
Aug 27, 2020 - AUTNES Online Panel Study 2017-2019 (SUF Edition)
ZIP Archive - 72.8 KB - MD5: a1a3ef03ac6a05913db4a3adf4004cc9
Documentation
List of variables in waves 1-13 (zipped Excel.xlsx)
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