# Print the top 10 most common words print(word_freq.most_common(10)) This code extracts the text from the docx file, tokenizes it, removes stopwords and punctuation, and calculates the word frequency. You can build upon this code to generate additional features.
# Calculate word frequency word_freq = nltk.FreqDist(tokens) J Pollyfan Nicole PusyCat Set docx
# Load the docx file doc = docx.Document('J Pollyfan Nicole PusyCat Set.docx') # Print the top 10 most common words print(word_freq
# Extract text from the document text = [] for para in doc.paragraphs: text.append(para.text) text = '\n'.join(text) removes stopwords and punctuation