def get_word_ngram(text, n=2, clean=False):
ngrams = defaultdict(int)
words = word_tokenize(text)
if clean:
words = simple.clean_words(words)
for i in range(0, len(words)-n+1):
ng = tuple(words[i:i+n])
ngrams[ng] += 1
return ngrams
def get_word_ngram(text, n=2, clean=False):
ngrams = defaultdict(int)
words = word_tokenize(text)
if clean:
words = simple.clean_words(words)
for i in range(0, len(words) - n + 1):
ng = tuple(words[i : i + n])
ngrams[ng] += 1
return ngrams
def get_words(text):
words = word_tokenize(text)
clean_words = simple.clean_words(words)
return words, clean_words
def get_words(text):
words = word_tokenize(text)
clean_words = simple.clean_words(words)
return words, clean_words
