This file contains the automatically extended Ratings for 1.683.624 words.

1] Format: Tab seperated, first line = header
#Header: WORD	AbsConc	Arousal	Valency	Dominance	Anger	Anticipation	DisgustFear	Happiness	Joy	Sadness	Surpris Trust
Ratings range from [0,10]

2] For details how the dataset was created and which ressources were used we'd refer to the reference paper.
If you use the data, please cite the  reference paper:

@inproceedings{Koeper2017,
  author = {Maximilian K\"oper and Evgeny Kim and Roman Klinger},
  title = {{IMS} at {EmoInt-2017}: Emotion Intensity Prediction
                  with Affective Norms, Automatically Extended
                  Resources and Deep Learning},
  booktitle = {Proceedings of the 8th Workshop on Computational
                  Approaches to Subjectivity, Sentiment and Social
                  Media Analysis},
  year = {2017},
  address = {Copenhagen, Denmark},
  organization = {Workshop at Conference on Empirical Methods in Natural Language Processing},
  publisher = {Association for Computational Linguistics}
}
