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

DOI

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 random sample of sentences drawn from sessions of the Austrian National Council (1995-2013). The sentiment of the sentences was crowdcoded on a five-point-scale ranging from 0 “Not negative” to 5 “Very strongly negative”. As each sentence has been coded by ten coders, there are multiple codingids for each unitid (sentence).

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Content coding

Identifier
DOI https://doi.org/10.11587/EOPCOB
Metadata Access https://datacatalogue.cessda.eu/oai-pmh/v0/oai?verb=GetRecord&metadataPrefix=oai_ddi25&identifier=a2af25333b5e187634295d5b74855524ba87750b4cc10ca1b6a9058c76df0f59
Provenance
Creator Haselmayer, Martin; Jenny, Marcelo
Publisher AUSSDA; The Austrian Social Science Data Archive
Publication Year 2020
Rights For more Information please visit AUSSDA's web page
OpenAccess true
Representation
Resource Type Numeric; Text
Discipline Computer Science; Computer Science, Electrical and System Engineering; Engineering Sciences; Humanities; Linguistics
Spatial Coverage Austria