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1 to 7 of 7 Results
Politics Vienna; Text Report 2004
Mar 28, 2023 - GfK Austria
GfK Austria, 2023, "Politics Vienna; Text Report 2004", https://doi.org/10.11587/JWICG6, AUSSDA, V1
Topic: Politics Vienna
Politics Vienna; Text Report 2004
Mar 28, 2023 - GfK Austria
GfK Austria, 2023, "Politics Vienna; Text Report 2004", https://doi.org/10.11587/U0YYWL, AUSSDA, V1
Topic: Politics Vienna
Voter Analysis Winter 1965
Sep 28, 2022 - GfK Austria
GfK Austria, 2022, "Voter Analysis Winter 1965", https://doi.org/10.11587/KJCV8T, AUSSDA, V1
Topic: Austrias political situation, economic development, political personalities and demoscopy
Political Issues Youth; Text and Tabulation Report 1992
Aug 23, 2022 - GfK Austria
GfK Austria, 2022, "Political Issues Youth; Text and Tabulation Report 1992", https://doi.org/10.11587/3EVGVC, AUSSDA, V1
Topic: Political issues youth
Youth and Neutrality; Text Report 1992
Aug 23, 2022 - GfK Austria
GfK Austria, 2022, "Youth and Neutrality; Text Report 1992", https://doi.org/10.11587/MD7ELY, AUSSDA, V1
Topic: Youth and neutrality
The German Political Sentiment Dictionary (SUF edition)
The German Political Sentiment Dictionary (SUF edition)
Dec 2, 2020 - AUTNES
Haselmayer, Martin; Jenny, Marcelo, 2020, "The German Political Sentiment Dictionary (SUF edition)", https://doi.org/10.11587/7PFLIU, AUSSDA, V1, UNF:6:fddvmzxSkM88VgrqvxOqTg== [fileUNF]
Full edition for scientific use. This dataset contains a German-language sentiment dictionary of 5001 negative words and their associated sentiment strength on a five-point-scale from 0 (not negative) to 4 (very strongly negative). The procedure for building the dictionary contai...
Training Data for German Sentiment Analysis of Political Communication (SUF edition)
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...
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