[
Table 11: Percentage of terms, in each target set, that are evaluative. The highest scores for EmoLex-GI positives and negatives are shown bold. Observe that the positive GI terms are marked mostly as positively evaluative and the negative terms are marked mostly as negatively evaluative.
['[EMPTY]', '[BOLD] negative', '[BOLD] positive', '[BOLD] either']
Just as in the case for emotions, practical NLP applications often require only two levels of polarity—having particular polarity (evaluative) or not (non-evaluative). For each target term–emotion pair, we convert the four-level semantic orientation annotations into two-level ones, just as we did for the emotions. Unigram nouns have a markedly lower proportion of negative terms, and a much higher proportion of positive terms. It may be argued that the default polarity of noun concepts is neutral or positive, and that usually it takes a negative adjective to make the phrase negative.