mirror of
https://github.com/gsi-upm/senpy
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56 lines
1.5 KiB
Python
56 lines
1.5 KiB
Python
#!/usr/local/bin/python
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# -*- coding: utf-8 -*-
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#
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# Copyright 2014 Grupo de Sistemas Inteligentes (GSI) DIT, UPM
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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#
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from senpy import easy_test, SentimentBox
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import basic
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class Basic(SentimentBox):
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'''Provides sentiment annotation using a lexicon'''
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author = '@balkian'
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version = '0.1'
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def predict_one(self, features, **kwargs):
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output = basic.get_polarity(features[0])
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if output == 'pos':
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return [1, 0, 0]
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if output == 'neu':
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return [0, 1, 0]
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return [0, 0, 1]
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test_cases = [{
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'input': u'Hello :)',
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'polarity': 'marl:Positive'
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}, {
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'input': u'So sad :(',
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'polarity': 'marl:Negative'
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}, {
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'input': u'Yay! Emojis 😁',
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'polarity': 'marl:Positive'
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}, {
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'input': u'But no emoticons 😢',
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'polarity': 'marl:Negative'
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}]
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if __name__ == '__main__':
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easy_test()
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