Question: In this section, you will Create a helper function to go from index in the vocabulary to a word Count the number of occurences of

In this section, you will
Create a helper function to go from index in the vocabulary to a word
Count the number of occurences of each word [identify the most used word]
Remember that we are using term frequency for representing our word tokens. It means that every row in x, contains the counts of the specific word in that document. Every row is a document. Every column is a word. You can find the total number of uses of a word by summing by row.assert type(id2word[0])== strhello_index = vectorizer_tf, vocabulary_['hello']assert id2word[hello_index]== 'hello'[]: # YOUR CODE HEREMode: CommandLn1,col1hw3-1-nlp-basics (1).ipy
In this section, you will Create a helper

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