mirror of
https://github.com/gsi-upm/senpy
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88 lines
2.4 KiB
Python
88 lines
2.4 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 requests
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import json
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from senpy.plugins import SentimentBox
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from senpy import easy_test
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ENDPOINT = 'http://sentiment.gelbukh.com/sentiment/run.php'
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class Senticnet(SentimentBox):
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'''Connects to the SenticNet free polarity detection API: http://sentiment.gelbukh.com/sentiment/'''
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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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extra_params = {
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}
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classes = ['marl:Positive', 'marl:Neutral', 'marl:Negative']
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binary = True
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def predict_one(self, features, activity):
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text = ' '.join(features)
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res = requests.post(ENDPOINT,
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data={'input': text})
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if '-' not in res.text:
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raise Exception('Invalid response from server: {}'.format(res.text))
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label = res.text.split('-')[1].lower()
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if 'positive' in label:
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return [1, 0, 0]
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elif 'negative' in label:
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return [0, 0, 1]
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return [0, 1, 0]
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test_cases = [
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{
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'entry': {
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'nif:isString': 'I love Titanic'
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},
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'params': {},
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'expected': {
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"nif:isString": "I love Titanic",
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'marl:hasOpinion': [
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{
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'marl:hasPolarity': 'marl:Positive',
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}
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]
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},
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}, {
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'entry': {
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'nif:isString': 'I hate my life'
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},
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'params': {},
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'expected': {
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"nif:isString": "I hate my life",
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'marl:hasOpinion': [
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{
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'marl:hasPolarity': 'marl:Negative',
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}
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]
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},
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},
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]
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if __name__ == '__main__':
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easy_test()
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