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Publication Year: 2020

381 to 390 of 2,971 Results

10274_mr_en_v1_0.pdf Dec 2, 2020 - The German Political Sentiment Dictionary (SUF edition) Adobe PDF - 62.9 KB - MD5: 050d20c9d45e62745c30f748be8cb9ed DocumentationMethod report Method report
Training Data for German Sentiment Analysis of Political Communication (SUF edition) Nov 26, 2020 - AUTNES 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 nationa...
10273_da_de_v1_0.tab Nov 26, 2020 - Training Data for German Sentiment Analysis of Political Communication (SUF edition) Tabular Data - 22.3 MB - 7 Variables, 125871 Observations - UNF:6:IiVRvJlBGz0ZxTi2febxHA== DataSTATA Core data file - STATA format - 7 Variables, 125871 Observations
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
10273_mr_en_v1_0.pdf Nov 26, 2020 - Training Data for German Sentiment Analysis of Political Communication (SUF edition) Adobe PDF - 84.7 KB - MD5: 956d09f91536890f37733442f4b5a62f DocumentationMethod report Method report
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
Microcensus Labour Force Survey / Housing Survey 2016 (SUF edition) Nov 20, 2020 - Statistik Austria Statistics Austria, 2020, "Microcensus Labour Force Survey / Housing Survey 2016 (SUF edition)", https://doi.org/10.11587/ROYRWO, AUSSDA, V1, UNF:6:HiPx23etBfjTU8Mm1r5Vcw== [fileUNF] Full edition for scientific use. With about 20,000 households surveyed per quarter, the Microcensus is the largest regularly conducted sample survey in Austria. It is an important data source for central national and international labour market indicators and regularly provides i...
10703_da01_de_v1_0.tab Nov 20, 2020 - Microcensus Labour Force Survey / Housing Survey 2016 (SUF edition) Tabular Data - 91.1 MB - 153 Variables, 177375 Observations - UNF:6:8HyIGQ3qIEWjlK961BAZCA== DataSTATA Core annual data file, not imputed data (dg4e.mz2016j) - STATA format - 153 Variables, 177375 Observations
10703_da01_de_v1_0.zsav Nov 20, 2020 - Microcensus Labour Force Survey / Housing Survey 2016 (SUF edition) Unknown - 11.3 MB - MD5: 0572360678fc6c2cb3429e8c930e6ff2 DataSPSS Core annual data file, not imputed data (dg4e.mz2016j) - compressed SPSS format - 153 Variables, 177375 Observations
10703_da02_de_v1_0.tab Nov 20, 2020 - Microcensus Labour Force Survey / Housing Survey 2016 (SUF edition) Tabular Data - 123.9 MB - 226 Variables, 177375 Observations - UNF:6:DD0llp0ssaVEAc5o4D3fMQ== DataSTATA Core annual data file, imputed data & additional variables (dg8.mz2016j) - STATA format - 226 Variables, 177375 Observations

10274_mr_en_v1_0.pdf

Dec 2, 2020 - The German Political Sentiment Dictionary (SUF edition)

Adobe PDF - 62.9 KB -

DocumentationMethod report

Method report

Training Data for German Sentiment Analysis of Political Communication (SUF edition)

Nov 26, 2020 - AUTNES

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 nationa...

10273_da_de_v1_0.tab

Nov 26, 2020 - Training Data for German Sentiment Analysis of Political Communication (SUF edition)

Tabular Data - 22.3 MB - 7 Variables, 125871 Observations -

DataSTATA

Core data file - STATA format - 7 Variables, 125871 Observations

10273_da_de_v1_0.zsav

Nov 26, 2020 - Training Data for German Sentiment Analysis of Political Communication (SUF edition)

Unknown - 8.7 MB -

DataSPSS

Core data file - compressed SPSS format - 7 Variables, 125871 Observations

10273_mr_en_v1_0.pdf

Nov 26, 2020 - Training Data for German Sentiment Analysis of Political Communication (SUF edition)

Adobe PDF - 84.7 KB -

DocumentationMethod report

Method report

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 -

Documentation

Variable identifiers and descriptions - machine-readable

Microcensus Labour Force Survey / Housing Survey 2016 (SUF edition)

Nov 20, 2020 - Statistik Austria

Statistics Austria, 2020, "Microcensus Labour Force Survey / Housing Survey 2016 (SUF edition)", https://doi.org/10.11587/ROYRWO, AUSSDA, V1, UNF:6:HiPx23etBfjTU8Mm1r5Vcw== [fileUNF]

Full edition for scientific use. With about 20,000 households surveyed per quarter, the Microcensus is the largest regularly conducted sample survey in Austria. It is an important data source for central national and international labour market indicators and regularly provides i...

10703_da01_de_v1_0.tab

Nov 20, 2020 - Microcensus Labour Force Survey / Housing Survey 2016 (SUF edition)

Tabular Data - 91.1 MB - 153 Variables, 177375 Observations -

DataSTATA

Core annual data file, not imputed data (dg4e.mz2016j) - STATA format - 153 Variables, 177375 Observations

10703_da01_de_v1_0.zsav

Nov 20, 2020 - Microcensus Labour Force Survey / Housing Survey 2016 (SUF edition)

Unknown - 11.3 MB -

DataSPSS

Core annual data file, not imputed data (dg4e.mz2016j) - compressed SPSS format - 153 Variables, 177375 Observations

10703_da02_de_v1_0.tab

Nov 20, 2020 - Microcensus Labour Force Survey / Housing Survey 2016 (SUF edition)

Tabular Data - 123.9 MB - 226 Variables, 177375 Observations -

DataSTATA

Core annual data file, imputed data & additional variables (dg8.mz2016j) - STATA format - 226 Variables, 177375 Observations

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