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).

Identifier
DOI https://doi.org/10.11587/eopcob
Related Identifier IsSupplementTo https://doi.org/10.1080/19312458.2018.1455817
Related Identifier IsSupplementTo https://doi.org/10.1007/s11135-016-0412-4
Metadata Access https://api.datacite.org/dois/10.11587/eopcob
Provenance
Creator Haselmayer, Martin; Jenny, Marcelo
Publisher AUSSDA
Contributor The Austrian Social Science Data Archive; AUSSDA
Publication Year 2020
Funding Reference Austrian Science Fund: S10903-G11, S10908-G11; Vienna Anniversary Foundation for Higher Education: H-304565/2015
OpenAccess true
Representation
Resource Type Dataset; Numeric; Text
Format text/tab-separated-values; application/octet-stream; application/pdf
Size 23371430; 9134185; 86728; 448
Version 1.0
Discipline Social Sciences
Spatial Coverage Austria