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Madison May
27 lines
967 B
Python
27 lines
967 B
Python
from indicoio.utils import api_handler
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import indicoio.config as config
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def text_tags(text, cloud=None, batch=False, api_key=None, **kwargs):
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"""
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Given input text, returns a probability distribution over 100 document categories
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Example usage:
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.. code-block:: python
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>>> import indicoio
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>>> import numpy as np
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>>> text = 'Monday: Delightful with mostly sunny skies. Highs in the low 70s.'
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>>> possible = indicoio.classification(text)
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>>> category = possible.keys()[np.argmax(possible.values())]
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>>> probability = np.max(possible.values())
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>>> "Predicted category '%s' with probability %.4f"%(category,probability)
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u'Predicted 'Weather' with probability 0.8548'
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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 class probability pairs
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"""
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return api_handler(text, cloud=cloud, api="texttags", batch=batch, api_key=api_key, **kwargs)
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