def word_moral_values(word):
"""Returns a dict that gives the association strength between word and every
moral trait, as rated by annotators. Value ranges from 1 to 9.
1: words closely associated to harm, cheating, betrayal, subversion, degradation
9: words closely associated to care, fairness, loyalty, authority, purity/sanctity
If the word is not in the lexicon of that moral trait, returns -1."""
return {
moral: lexicon_use.moral_value(word=word, moral=moral)
for moral in moral_options_lexicon
}
def word_moral_annotations(word, normalized=False):
"""Returns a dict that gives the association strength between word and every
moral trait, as rated by annotators. Value ranges from 1 to 9.
1: words closely associated to harm, cheating, betrayal, subversion, degradation
9: words closely associated to care, fairness, loyalty, authority, purity/sanctity
normalized=True will normalize each annotation in the range -1 (vice) to +1 (virtue)
If the word is not in the lexicon of that moral trait, returns NaN."""
return {
moral: lexicon_use.moral_value(word=word,
moral=moral,
normalized=normalized)
for moral in moral_options_lexicon
}
def word_moral_value(word, moral):
"""Returns the association strength between word and moral trait,
as rated by annotators. Value ranges from 1 to 9.
1: words closely associated to harm, cheating, betrayal, subversion, degradation
9: words closely associated to care, fairness, loyalty, authority, sanctity
If the word is not in the lexicon of that moral trait, returns -1.
For a list of available traits, get_available_lexicon_traits()
"""
if moral not in moral_options_lexicon:
raise ValueError(
'Invalid moral trait "{}" specified. Valid traits are: {}'.format(
moral, moral_options_lexicon))
return lexicon_use.moral_value(word=word, moral=moral)