def extract_word_frequencies(text, is_markdown=True):
"""Parse given text and return a dictionary of word frequencies.
:param is_markdown: if True, parse text from markdown
"""
word_freqs = defaultdict(int)
if is_markdown:
text = strip_markdown(text)
# expand contractions
text = contraction_expander.replace(text)
# remove remaining punctuation
text = strip_punct(text)
# convert text to lowercase
text = text.lower()
for token in wordpunct_tokenize(text):
# stem token
token = WordNetLemmatizer().lemmatize(token)
if token not in stopwords.words('english') and len(token) > 2:
word_freqs[token] += 1
return word_freqs
def test_strip_punct():
expected = "I cant believe that she was a sea shell seller " u"—— I really cant "
assert utils.strip_punct(MOCK_TEXT_3) == expected
