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Fixed up sentiment api and updated docs

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Slater-Victoroff
2014-06-06 19:41:41 -04:00
parent 8d34b05d9b
commit b5ece3d51b
6 changed files with 19 additions and 11 deletions
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CHANGES.txt
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@@ -1,2 +1,3 @@
v0.2.8, Tue May 13 -- Added Description, Authors file, changelog. Cleaned up import paths and modified corresponding examples and tests
v0.2.9, Mon Jun 2 -- API now supports normalization, updating documentation to reflect this.
v0.2.10, Mon Jun 2 -- API now supports normalization, updating documentation to reflect this.
v0.2.11, Fri Jun 6 -- Switched sentiment api to more general version with much higher quality. updated docs to reflect this. Also changed unintuitive posneg to more intuitive Sentiment. Kept old posneg for backward compatibility.
IndicoIo/__init__.py
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@@ -1,5 +1,6 @@
JSON_HEADERS = {'Content-type': 'application/json', 'Accept': 'text/plain'}
from text.sentiment import political, spam, posneg
from text.sentiment import posneg as sentiment
from images.fer import fer
from images.features import facial_features
README
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@@ -25,7 +25,7 @@ Examples
```
>>> import numpy as np
>>> from IndicoIo import political, spam, posneg, fer, facial_features
>>> from IndicoIo import political, spam, sentiment, fer, facial_features
>>> political("Guns don't kill people. People kill people.")
{u'Libertarian': 0.22934946808893228, u'Liberal': 0.2025395008382684, u'Green': 0.0, u'Conservative': 1.0}
@@ -33,8 +33,11 @@ Examples
>>> spam("Free car!")
{u'Ham': 0.0, u'Spam': 1.0}
>>> posneg("Would not stay in this hotel ever again.")
{u'Positive': 0.0, u'Negative': 1.0}
>>> sentiment('Worst movie ever.')
{u'Sentiment': 0.07062467665597527}
>>> sentiment('Really enjoyed the movie.')
{u'Sentiment': 0.8105182526856075}
>>> test_face = np.linspace(0,50,48*48).reshape(48,48).tolist()
README.md
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@@ -25,7 +25,7 @@ Examples
```
>>> import numpy as np
>>> from IndicoIo import political, spam, posneg, fer, facial_features
>>> from IndicoIo import political, spam, sentiment, fer, facial_features
>>> political("Guns don't kill people. People kill people.")
{u'Libertarian': 0.22934946808893228, u'Liberal': 0.2025395008382684, u'Green': 0.0, u'Conservative': 1.0}
@@ -33,8 +33,11 @@ Examples
>>> spam("Free car!")
{u'Ham': 0.0, u'Spam': 1.0}
>>> posneg("Would not stay in this hotel ever again.")
{u'Positive': 0.0, u'Negative': 1.0}
>>> sentiment('Worst movie ever.')
{u'Sentiment': 0.07062467665597527}
>>> sentiment('Really enjoyed the movie.')
{u'Sentiment': 0.8105182526856075}
>>> test_face = np.linspace(0,50,48*48).reshape(48,48).tolist()
setup.py
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@@ -5,7 +5,7 @@ except ImportError:
setup(
name = "IndicoIo",
version = '0.2.10',
version = '0.2.11',
packages = [
"IndicoIo",
"IndicoIo.text",
tests/test_run.py
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@@ -2,7 +2,7 @@ import unittest
import numpy as np
from IndicoIo import political, spam, posneg, fer, facial_features
from IndicoIo import political, spam, sentiment, fer, facial_features
class FullAPIRun(unittest.TestCase):
@@ -24,9 +24,9 @@ class FullAPIRun(unittest.TestCase):
self.assertEqual(spam_set, set(response.keys()))
def test_posneg(self):
posneg_set = set(['Positive', 'Negative'])
posneg_set = set(['Sentiment'])
test_string = "Worst song ever."
response = posneg(test_string)
response = sentiment(test_string)
self.assertTrue(isinstance(response, dict))
self.assertEqual(posneg_set, set(response.keys()))