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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 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