def test_detect_non_ascii(self):
lang = self.translator.detect(unicode("关于中文维基百科"))
assert_equal(lang, 'zh-CN')
lang2 = self.translator.detect(unicode("известен още с псевдонимите"))
assert_equal(lang2, "bg")
lang3 = self.translator.detect(unicode("Избранная статья"))
assert_equal(lang3, "ru")
def test_detect_non_ascii(self):
lang = self.translator.detect(unicode("关于中文维基百科"))
assert_equal(lang, 'zh-CN')
lang2 = self.translator.detect(unicode("известен още с псевдонимите"))
assert_equal(lang2, "bg")
lang3 = self.translator.detect(unicode("Избранная статья"))
assert_equal(lang3, "ru")
def test_translate_non_ascii(self):
blob = tb.TextBlob(unicode("ذات سيادة كاملة"))
translated = blob.translate(from_lang="ar", to="en")
assert_equal(translated, "With full sovereignty")
chinese_blob = tb.TextBlob(unicode("美丽优于丑陋"))
translated = chinese_blob.translate(from_lang="zh-CN", to='en')
assert_equal(translated, "Beautiful is better than ugly")
def test_translate_non_ascii(self):
blob = tb.TextBlob(unicode("ذات سيادة كاملة"))
translated = blob.translate(from_lang="ar", to="en")
assert_equal(translated, "With full sovereignty")
chinese_blob = tb.TextBlob(unicode("美丽优于丑陋"))
translated = chinese_blob.translate(from_lang="zh-CN", to='en')
assert_equal(translated, "Beautiful is better than ugly")
def pos_tags(self):
'''Returns an list of tuples of the form (word, POS tag).
Example:
::
[('At', 'IN'), ('eight', 'CD'), ("o'clock", 'JJ'), ('on', 'IN'),
('Thursday', 'NNP'), ('morning', 'NN')]
:rtype: list of tuples
'''
return [(Word(word, pos_tag=t), unicode(t))
for word, t in self.pos_tagger.tag(self.raw)
if not PUNCTUATION_REGEX.match(unicode(t))]
def __repr__(self):
'''Returns a string representation for debugging.'''
class_name = self.__class__.__name__
# String representation of words
strings = [unicode(w) for w in self._collection]
if len(self) > 60:
return '{cls}({beginning}...{end})'.format(cls=class_name,
beginning=strings[:3],
end=strings[-3:])
else:
return '{cls}({lst})'.format(cls=class_name, lst=strings)
def test_detect_non_ascii(self):
blob = tb.TextBlob(unicode("ذات سيادة كاملة"))
assert_equal(blob.detect_language(), "ar")
def test_translate_detects_language_by_default(self):
blob = tb.TextBlob(unicode("ذات سيادة كاملة"))
assert_equal(blob.translate(), "With full sovereignty")
def parse(s, *args, **kwargs):
""" Returns a tagged Unicode string.
"""
return parser.parse(unicode(s), *args, **kwargs)
def positive(s, threshold=0.1, **kwargs):
""" Returns True if the given sentence has a positive sentiment (polarity >= threshold).
"""
return polarity(unicode(s), **kwargs) >= threshold
def subjectivity(s, **kwargs):
""" Returns the sentence subjectivity (objective/subjective) between 0.0 and 1.0.
"""
return sentiment(unicode(s), **kwargs)[1]
def polarity(s, **kwargs):
""" Returns the sentence polarity (positive/negative) between -1.0 and 1.0.
"""
return sentiment(unicode(s), **kwargs)[0]
def parsetree(s, *args, **kwargs):
""" Returns a parsed Text from the given string.
"""
return Text(parse(unicode(s), *args, **kwargs))
def test_detect_non_ascii(self):
blob = tb.TextBlob(unicode("ذات سيادة كاملة"))
assert_equal(blob.detect_language(), "ar")
def test_translate_detects_language_by_default(self):
blob = tb.TextBlob(unicode("ذات سيادة كاملة"))
assert_equal(blob.translate(), "With full sovereignty")
