def word_count(self,List):
    >         dictionary_text={}
    >         for word in List:
    >             if word in dictionary_text:
    >                 dictionary_text[word]+=1
    >             else:
    >                 dictionary_text[word]=1

>

    > > def text_process(self,string):
    > >         from nltk.stem import WordNetLemmatizer
    > >         from nltk.tokenize import word_tokenize
    > >         lemmatizer = WordNetLemmatizer()
    > >         New_text=word_tokenize(string)
    > >         New_text_lem=[lemmatizer.lemmatize(words) for words in New_text]
    > >         dictionary_text=self.word_count(New_text_lem)
    > >         return dictionary_text

    def main(self,Text):
    text_1=self.text_process(Text[0])
    text_2=self.text_process(Text[1])
    text_3=self.text_process(Text[2])
    final_dic={}
    for key in set(text_1.keys() + text_2.keys() + text_3.keys()):
        try:
            final_dic.setdefault(key,[]).append(text_1[key])
        except KeyError:
            pass

        try:
            final_dic.setdefault(key,[]).append(text_2[key])
        except KeyError:
            pass

        try:
            final_dic.setdefault(key,[]).append(text_3[key])
        except KeyError:
            pass