mirror of
https://github.com/gsi-upm/senpy
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55 lines
2.0 KiB
Python
55 lines
2.0 KiB
Python
#
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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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import random
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from senpy import SentimentPlugin, Sentiment, Entry
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class RandSent(SentimentPlugin):
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'''A sample plugin that returns a random sentiment annotation'''
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name = 'sentiment-random'
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author = "@balkian"
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version = '0.1'
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url = "https://github.com/gsi-upm/senpy-plugins-community"
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marl__maxPolarityValue = '1'
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marl__minPolarityValue = "-1"
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def analyse_entry(self, entry, activity):
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polarity_value = max(-1, min(1, random.gauss(0.2, 0.2)))
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polarity = "marl:Neutral"
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if polarity_value > 0:
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polarity = "marl:Positive"
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elif polarity_value < 0:
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polarity = "marl:Negative"
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sentiment = Sentiment(marl__hasPolarity=polarity,
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marl__polarityValue=polarity_value)
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sentiment.prov(activity)
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entry.sentiments.append(sentiment)
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yield entry
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def test(self):
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'''Run several random analyses.'''
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params = dict()
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results = list()
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for i in range(50):
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activity = self.activity(params)
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res = next(self.analyse_entry(Entry(nif__isString="Hello"),
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activity))
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res.validate()
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results.append(res.sentiments[0]['marl:hasPolarity'])
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assert 'marl:Positive' in results
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assert 'marl:Negative' in results
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