def tokens2pos(sep, tokens):
'''Tokenize words into their parts of speech. Each item
is the original word with its role as the second part
of the item. Punctuation is considered as a separate token.'''
content = read_tokens(tokens)
nltk.data.path.append(data_item())
tags = nltk.pos_tag(content)
[output("{},{}".format(t[0], t[1])) for t in tags]
def tokens2pos(sep, tokens):
'''Tokenize words into their parts of speech. Each item
is the original word with its role as the second part
of the item. Punctuation is considered as a separate token.'''
content = read_tokens(tokens)
nltk.data.path.append(data_item())
tags = nltk.pos_tag(content)
[output("{},{}".format(t[0], t[1])) for t in tags]
def tokens2pos(sep, tokens):
'''Tokenize words into their parts of speech. Output contains the
word token followed by its part-of-speech tag, separated by the
character specified by --sep.
'''
content = read_tokens(tokens)
nltk.data.path.append(data_item())
tags = nltk.pos_tag(content)
write_csv(tags, str(sep))
def tokens2pos(sep, tokens):
'''Tokenize words into their parts of speech. Output contains the
word token followed by its part-of-speech tag, separated by the
character specified by --sep.
'''
content = read_tokens(tokens)
nltk.data.path.append(data_item())
tags = nltk.pos_tag(content)
write_csv(tags, str(sep))
def get_stopwords(stopword_name):
path = data_item('/stopwords/' + stopword_name + '.txt')
stopwords = []
with open(path) as filename:
stopwords = read_tokens(filename)
return stopwords
