providing_context

providing_context

keep_words = ['no', 'not']
stop_words_context = [w for w in stop_words if w not in keep_words]
negations = ['not', 'no', 'never', 'without']

def bigram(book):
    book_context = clean(book, stop_words_context)
    book_bigrams = pd.DataFrame(list(nltk.bigrams(book_context['word'])), 
                                            columns = ['word1', 'word2'])
    return book_bigrams
    
notes_bigrams = bigram(notes)
crime_bigrams = bigram(crime)
idiot_bigrams = bigram(idiot)
possessed_bigrams = bigram(possessed)
brothers_bigrams = bigram(brothers)