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For unicode text , predictions are going all over the place #4

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whiletruelearn opened this issue Nov 3, 2017 · 1 comment
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@whiletruelearn
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Found this issue while passing input as unicode string.

Example

wtl.predict_lang(u"nike running shoes string")
['CANT_PREDICT', 'CANT_PREDICT', 'CANT_PREDICT', 'CANT_PREDICT', 'CANT_PREDICT', 'CANT_PREDICT', 'CANT_PREDICT', 'CANT_PREDICT', 'CANT_PREDICT', 'CANT_PREDICT', 'CANT_PREDICT', 'CANT_PREDICT', 'CANT_PREDICT', 'CANT_PREDICT', 'CANT_PREDICT', 'CANT_PREDICT', 'CANT_PREDICT', 'CANT_PREDICT', 'CANT_PREDICT', 'CANT_PREDICT', 'CANT_PREDICT', 'CANT_PREDICT', 'CANT_PREDICT', 'CANT_PREDICT', 'CANT_PREDICT']

This can be resolved by wrapping all text including unicode text in list.

>>> wtl.predict_lang([u"nike running shoes"])
[u'en']
@whiletruelearn
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#5 fixes this

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