def answer_six():
from nltk.book import FreqDist
dictionary = FreqDist(moby_tokens)
sorted_dict = sorted(dictionary.items(), key=lambda x: x[1], reverse=True)
result = [(v, k) for k, v in sorted_dict if ((v > 2000) & k.isalpha())]
return result
def answer_eight():
from nltk.book import FreqDist
part_of_speech = nltk.pos_tag(moby_tokens)
tags = [t for _, t in part_of_speech]
dictionary = FreqDist(tags)
sorted_dict = sorted(dictionary.items(), key=lambda x: x[1], reverse=True)
return sorted_dict[:5]
def answer_five():
from nltk.book import FreqDist
dictionary = FreqDist(moby_tokens)
sorted_dict = sorted(dictionary.items(),
key=lambda x: len(x[0]),
reverse=True)
w, _ = sorted_dict[0]
return (w, len(w))
def answer_three():
from nltk.book import FreqDist
import operator
token_dict = FreqDist(moby_tokens)
sorted_token_dict = sorted(token_dict.items(), key=operator.itemgetter(1))
lst = sorted_token_dict[-20:]
lst.reverse()
return lst
def answer_three():
from nltk.book import FreqDist
import operator
token_dict = FreqDist(moby_tokens)
sorted_token_dict = sorted(token_dict.items(),
key=operator.itemgetter(1),
reverse=True)
return sorted_token_dict[0:20] # Your answer here
def answer_three():
from nltk.book import FreqDist
dictionary = FreqDist(moby_tokens)
sorted_dict = sorted(dictionary.items(), key=lambda x: x[1], reverse=True)
return sorted_dict[:20]
def answer_four():
words_5 = [word for word in moby_tokens if len(word) > 5]
print(words_5[:20])
dist = FreqDist(words_5)
print(dist.items())