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test and document new twitter wordlists

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Rob Speer 2015-07-01 17:53:38 -04:00
parent 7e3066d3fc
commit 14cb408100
2 changed files with 14 additions and 3 deletions
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9
tests/test.py
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@ -34,6 +34,15 @@ def test_languages():
assert_greater(word_frequency('lol', new_lang_code), 0) assert_greater(word_frequency('lol', new_lang_code), 0)
def test_twitter():
avail = available_languages('twitter')
assert_greater(len(avail), 12)
for lang in avail:
assert_greater(word_frequency('rt', lang, 'twitter'),
word_frequency('rt', lang, 'combined'))
def test_defaults(): def test_defaults():
eq_(word_frequency('esquivalience', 'en'), 0) eq_(word_frequency('esquivalience', 'en'), 0)
eq_(word_frequency('esquivalience', 'en', default=1e-6), 1e-6) eq_(word_frequency('esquivalience', 'en', default=1e-6), 1e-6)

8
wordfreq/__init__.py
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@ -331,9 +331,8 @@ def half_harmonic_mean(a, b):
def word_frequency(word, lang, wordlist='combined', default=0.): def word_frequency(word, lang, wordlist='combined', default=0.):
""" """
Get the frequency of `word` in the language with code `lang`, from the Get the frequency of `word` in the language with code `lang`, from the
specified `wordlist`. The default (and currently only) wordlist is specified `wordlist`. The default wordlist is 'combined', built from
'combined', built from whichever of these four sources have sufficient whichever of these four sources have sufficient data for the language:
data for the language:
- Full text of Wikipedia - Full text of Wikipedia
- A sample of 72 million tweets collected from Twitter in 2014, - A sample of 72 million tweets collected from Twitter in 2014,
@ -341,6 +340,9 @@ def word_frequency(word, lang, wordlist='combined', default=0.):
- Frequencies extracted from OpenSubtitles - Frequencies extracted from OpenSubtitles
- The Leeds Internet Corpus - The Leeds Internet Corpus
Another available wordlist is 'twitter', which uses only the data from
Twitter.
Words that we believe occur at least once per million tokens, based on Words that we believe occur at least once per million tokens, based on
the average of these lists, will appear in the word frequency list. the average of these lists, will appear in the word frequency list.
If you look up a word that's not in the list, you'll get the `default` If you look up a word that's not in the list, you'll get the `default`