Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/180851
Authors: 
Rauh, Christian
Year of Publication: 
2018
Citation: 
[Journal:] Journal of Information Technology & Politics [ISSN:] 1933-169X [Publisher:] Taylor & Francis [Place:] Abingdon [Volume:] 15 [Year:] 2018 [Issue:] 4 [Pages:] 319-343
Abstract: 
Automated sentiment scoring offers relevant empirical information for many political science applications. However, apart from English language resources, validated dictionaries are rare. This note introduces a German sentiment dictionary and assesses its performance against human intuition in parliamentary speeches, party manifestos, and media coverage. The tool published with this note is indeed able to discriminate positive and negative political language. But the validation exercises indicate that positive language is easier to detect than negative language, while the scores are numerically biased to zero. This warrants caution when interpreting sentiment scores as interval or even ratio scales in applied research.
Subjects: 
sentiment analysis
sentiment dictionary
text analysis
political language
German
Persistent Identifier of the first edition: 
Creative Commons License: 
https://creativecommons.org/licenses/by/4.0/
Document Type: 
Article
Document Version: 
Published Version
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