Paper Info
Title
Automatically Generated Affective Norms of Abstractness, Arousal, Imageability and Valence for 350 000 German Lemmas.
Abstract
This paper presents a collection of 350 000 German lemmatised words, rated on four psycholinguistic affective attributes. All ratings were obtained via a supervised learning algorithm that can automatically calculate a numerical rating of a word. We applied this algorithm to abstractness, arousal, imageability and valence. Comparison with human ratings reveals high correlation across all rating types. The data discussed in the present paper is accessible at: http://www.ims.uni-stuttgart.de/data/affective_norms/
Year
Venue
Keywords
2016
LREC 2016 - TENTH INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION
affective norms,abstractness,arousal
Field
DocType
Citations 
Valence (chemistry),Arousal,Computer science,Cognitive psychology,Natural language processing,Artificial intelligence,Affect (psychology),Lemma (mathematics),German
Conference
3
PageRank 
References 
Authors
0.38
0
2
Name
Order
Citations
PageRank
Maximilian Köper1276.18
Sabine Schulte im Walde244065.65