(self, fieldname, text, numterms=5,
                            model=classify.Bo1Model, normalize=True)
return expander.expanded_terms(numterms, normalize=normalize)
Return the 'numterms' most important terms from the given text.

        :param numterms: Return this number of important terms.
        :param model: The classify.ExpansionModel to use. See the classify
            module.
Return the 'numterms' most important terms from the given text.
Return the numterms most important terms from the given text .
def key_terms_from_text(self, fieldname, text, numterms=5,
                            model=classify.Bo1Model, normalize=True):
        """Return the 'numterms' most important terms from the given text.

        :param numterms: Return this number of important terms.
        :param model: The classify.ExpansionModel to use. See the classify
            module.
        """

        expander = classify.Expander(self.ixreader, fieldname, model=model)
        expander.add_text(text)
        return expander.expanded_terms(numterms, normalize=normalize)
def key_terms_from_text ( self , fieldname , text , numterms = 5 , model = classify . Bo1Model , normalize = True ) : expander = classify . Expander ( self . ixreader , fieldname , model = model ) expander . add_text ( text ) return expander . expanded_terms ( numterms , normalize = normalize )