Using the first for loop, print the top five words of bow_doc using each word_id with the dictionary alongside word_coun

Here's the completed code: ``` # Import defaultdict from collections import defaultdict # Save the fifth document: doc doc = corpus[4] # Sort the doc for frequency: bow_doc bow_doc = sorted(doc, key=lambda w: w[1], reverse=True) # Print the top 5 words of the document alongside the count for word_id, word_count in bow_doc[:5]: print(dictionary.get(word_id), word_count) # Create the defaultdict: total_word_count total_word_count = defaultdict(int) # Iterate over each word ID and count in each document for word_id, word_count in itertools.chain.from_iterable(corpus): # Increment the count of the word ID total_word_count[word_id] += word_count ``` The code uses `sorted()` to sort `doc` by frequency and assigns it to `bow_doc`. It then prints the