टेक्स्ट वेक्टर की पड़ताल, भाग 2

def words_to_filter(vocab, original_vocab, vector, top_n):
    filter_list = []
    for i in range(0, vector.shape[0]):
    
        # Call the return_weights function and extend filter_list
        filtered = ____(vocab, original_vocab, vector, i, top_n)
        filter_list.extend(filtered)
        
    # Return the list in a set, so we don't get duplicate word indices
    return ____(filter_list)

# Call the function to get the list of word indices
filtered_words = ____(____, ____, ____, ____)

# Filter the columns in text_tfidf to only those in filtered_words
filtered_text = text_tfidf[:, list(____)]