Automatically Generated Affective Norms of Abstractness, Arousal, Imageability and Valence for 350 000 German Lemmas
Maximilian Köper, Sabine Schulte im Walde · 2016
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: