def get_words(self, tokenized):
word_list = []
lookup = self.lookup
for word in tokenized:
word = tuple_check(word)
if word in lookup:
word_list.append((word, lookup[word]))
elif stem(word) in lookup:
word_list.append((stem(word), lookup[stem(word)]))
else:
continue
tuples = sorted(word_list, key=lambda x: x[1], reverse=True)
return tuples
def get_words(self, tokenized):
word_list = []
lookup = self.lookup
for word in tokenized:
word = tuple_check(word)
if word in lookup:
word_list.append((word, lookup[word]))
elif stem(word) in lookup:
word_list.append((stem(word), lookup[stem(word)]))
else:
continue
tuples = sorted(word_list, key=lambda x: x[1], reverse=True)
return tuples
def mean(self, tokenized):
total = 0
count = 0
lookup = self.lookup
for word in tokenized:
if word in lookup:
total += lookup[word]
count += 1
elif stem(word) in lookup:
total += lookup[word]
count += 1
else:
continue
return total / count
def mean(self, tokenized):
total = 0
count = 0
lookup = self.lookup
for word in tokenized:
if word in lookup:
total += lookup[word]
count += 1
elif stem(word) in lookup:
total += lookup[word]
count += 1
else:
continue
return total / count
