Affective Norms: Abstractness, Arousal, Imageability, Valence
This resource contains a collection of 350,000 German lemmatised words, rated on four psycholinguistic attributes. All ratings were obtained via a supervised learning algorithm that automatically calculates a numerical rating for each word and each affective attribute.
We applied the algorithm to four different rating types: abstractness, arousal, imageability and valence:
- Abstract words refer to things that we cannot perceive directly with our senses (idea, politics, ...), concrete words refer to things that we can perceive (image, scent, ...).
- A large subset of concrete words has a high imageability, i.e., these words refer to things that we can actually see.
- Valence determines the pleasantness of a word (gift vs. punishment).
- Arousal describes the intensity of emotion provoked by a stimulus (alert vs. calm).
The data are freely available for education, research and other
purposes. See here
on how to obtain the data.
Maximilian Köper, Sabine Schulte im Walde
Automatically Generated Norms of Abstractness, Arousal, Imageability and Valence for 350 000 German Lemmas
In: Proceedings of the 10th Conference on Language Resources and Evaluation (LREC). Portoroz, Slovenia, May 2016.