mirror of
https://github.com/wassname/IndicoIo-python.git
synced 2026-06-27 16:10:34 +08:00
Madison May
55 lines
2.0 KiB
Python
55 lines
2.0 KiB
Python
from indicoio import JSON_HEADERS
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from indicoio.utils import api_handler
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import indicoio.config as config
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def political(text, cloud=config.cloud, batch=False, auth=None, **kwargs):
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"""
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Given input text, returns a probability distribution over the political alignment of the speaker.
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Example usage:
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.. code-block:: python
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>>> from indicoio import political
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>>> import numpy as np
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>>> text = 'Wish we had more bike lanes. \
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Hopefully, driverless cars will chance economics from ownership to fee for service.'
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>>> affiliation = political(text)
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>>> affiliation
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{u'Libertarian': 0.4923755446986322, u'Green': 0.2974443102818122,
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u'Liberal': 0.13730032938784784, u'Conservative': 0.07287981563170784}
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>>> least_like = affiliation.keys()[np.argmin(affiliation.values())]
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>>> most_like = affiliation.keys()[np.argmax(affiliation.values())]
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>>> 'This text is most like %s and least like %s'%(most_like,least_like)
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u'This text is most like Libertarian and least like Conservative'
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:param text: The text to be analyzed.
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:type text: str or unicode
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:rtype: Dictionary of party probability pairs
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"""
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return api_handler(text, cloud=cloud, api="political", batch=batch, auth=auth, **kwargs)
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def posneg(text, cloud=config.cloud, batch=False, auth=None, **kwargs):
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"""
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Given input text, returns a scalar estimate of the sentiment of that text.
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Values are roughly in the range 0 to 1 with 0.5 indicating neutral sentiment.
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For reference, 0 suggests very negative sentiment and 1 suggests very positive sentiment.
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Example usage:
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.. code-block:: python
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>>> from indicoio import sentiment
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>>> text = 'Thanks everyone for the birthday wishes!! It was a crazy few days ><'
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>>> sentiment = sentiment(text)
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>>> sentiment
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0.6946439339979863
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:param text: The text to be analyzed.
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:type text: str or unicode
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:rtype: Float
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"""
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return api_handler(text, cloud=cloud, api="sentiment", batch=batch, auth=auth, **kwargs)
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