@inproceedings{L16-1413,
 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 full resource is publically available at: http://www.ims.uni-stuttgart.de/data/affective\_norms/
},
 address = {Portorož, Slovenia},
 author = {Maximilian Köper and Sabine Schulte im Walde},
 booktitle = {Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC 2016)},
 month = {May},
 pages = {2595--2598},
 publisher = {European Language Resources Association (ELRA)},
 title = {Automatically Generated Affective Norms of Abstractness, Arousal, Imageability and Valence for 350 000 German Lemmas},
 url = {https://www.aclweb.org/anthology/L16-1413},
 year = {2016}
}