Class Classifier

pattern/text/search.py:382–394

#--- TAXONOMY CLASSIFIER ---------------------------------------------------------------------------

class Classifier(object):
    
    def __init__(self, parents=lambda term: [], children=lambda term: [], value=lambda term: None):
        """ A classifier uses a rule-based approach to enrich the taxonomy, for example:
            c = Classifier(parents=lambda term: term.endswith("ness") and ["quality"] or [])
            taxonomy.classifiers.append(c)
            This tags any word ending in -ness as "quality".
            This is much shorter than manually adding "roughness", "sharpness", ...
            Other examples of useful classifiers: calling en.wordnet.Synset.hyponyms() or en.number().
        """
        self.parents  = parents
        self.children = children
        self.value    = value

# Classifier(parents=lambda word: word.endswith("ness") and ["quality"] or [])
# Classifier(parents=lambda word, chunk=None: chunk=="VP" and [ACTION] or [])