Before revision:  Our results signal that valence associations of this word set represent widely shared associations and consequently an intrinsic quality of words .
After revision:  Our results signal that valence associations of this word set represent widely shared associations of the last two centuries. Consequently, ValNorm can be used to evaluate valence norms and the accuracy of word embeddings especially when measuring biases .