def match_value_to_text(self, text):
        """
        this is going to be the tricky bit - probably not possible
        to get the 'exact' rating for a value. Will need to do sentiment
        analysis of the text to see how it matches the rating. Even that
        sounds like it wont work - maybe a ML algorithm would do it, but
        that requires a large body of text already matched to values - and
        values aren't even defined as far as I have found.

        UPDATE - this could work if we assume values can be single words,
        eg tax=0.3, freedom=0.7, healthcare=0.3, welfare=0.3 etc
        """

        if self.nme in text:

            res = 0.8
        else:
            res = 0.2

        return self.nme + ' = ' + str(res) + ' match against ' + text
def match_value_to_text ( self , text ) : if self . nme in text : res = 0.8 else : res = 0.2 return self . nme + ' = ' + str ( res ) + ' match against ' + text
this is going to be the tricky bit - probably not possible
        to get the 'exact' rating for a value. Will need to do sentiment
        analysis of the text to see how it matches the rating. Even that
        sounds like it wont work - maybe a ML algorithm would do it, but
        that requires a large body of text already matched to values - and
        values aren't even defined as far as I have found.

        UPDATE - this could work if we assume values can be single words,
        eg tax=0.3, freedom=0.7, healthcare=0.3, welfare=0.3 etc