signiﬁcantly stronger correlations (r=0.458, CI(0.350,0.553) vs. r=0.190, CI(0.063,0.310)), shown in the darker bars in Figure
2A. Intuitively, this “fuzzy” grouping helps better capture the overall meaning of the target word.30 This also loosely parallels
techniques in surveying that averages responses to related questions, rather than making conclusions based on single-item
responses.12
Language models trained on media diets can predict public opinion