Data Type: Numeric; Text
Topic Classification Term: Elections ((CESSDA Topic Classification))
Topic Classification Term: Language and linguistics ((CESSDA Topic Classification))
Author Affiliation: University of Innsbruck
Keyword Term: Linguistic analysis
Author Name: Jenny, Marcelo
Geographic Coverage Country / Nation: Austria
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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... |