Before revision:  By extending methods that quantify human-like biases in word embeddings, we introduce ValNorm, a new word embedding intrinsic evaluation task , and the first unsupervised method that estimates the affective meaning of valence in words with high accuracy.
After revision:  By extending methods that quantify human-like biases in word embeddings, we introduce ValNorm, a new word embedding intrinsic evaluation task , and the first unsupervised method that estimates the affective meaning of valence (pleasantness/unpleasantness) in words, with high accuracy.