Summary information
Study title
The German Political Sentiment Dictionary (SUF edition)
Creator
Haselmayer, Martin (University of Vienna, Department of Government)
Jenny, Marcelo (University of Innsbruck, Department of Political Science)
Study number / PID
doi:10.11587/7PFLIU (DOI)
Data access
Information not available
Series
Not available
Abstract
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 contains the following steps: (1) Sampling 12713 sentences from Austrian parliamentary debates (1995-2013), party press releases (2006-2013), and political news reports (2013), (2) Crowdcoding the sentiment strength of sentences, (3) Estimating a sentence tonality score (4), Estimating a word tonality score, (5) Discriminating between important and unimportant words.
Topics
Keywords
Methodology
Data collection period
23/01/2014 - 23/03/2015
Country
Austria
Time dimension
Other
Analysis unit
Text unit
Universe
Political news reports
Sampling procedure
Other
Kind of data
Numeric; Text
Data collection mode
Content coding
Funding information
Funder
Austrian Science Fund
Grant number
S10903-G11, S10908-G11
Funder
Vienna Anniversary Foundation for Higher Education
Grant number
H-304565/2015
Access
Publisher
The Austrian Social Science Data Archive
Publication year
2020
Terms of data access
For more Information please visit AUSSDA's web page