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68 lines
2.2 KiB
Python
68 lines
2.2 KiB
Python
#!/usr/bin/python
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# -*- coding: utf-8 -*-
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# Copyright 2014 J. Fernando Sánchez Rada - Grupo de Sistemas Inteligentes
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# 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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Simple Sentiment Analysis server for EUROSENTIMENT
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This class shows how to use the nif_server module to create custom services.
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'''
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import config
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import re
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from flask import Flask
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import random
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from senpy.nif_server import *
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app = Flask(__name__)
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rgx = re.compile("(\w[\w']*\w|\w)", re.U)
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def hard_analysis(params):
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response = basic_analysis(params)
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response["analysis"][0].update({ "marl:algorithm": "SimpleAlgorithm",
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"marl:minPolarityValue": -1,
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"marl:maxPolarityValue": 1})
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for i in response["entries"]:
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contextid = i["@id"]
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random.seed(str(params))
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polValue = 2*random.random()-1
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if polValue > 0:
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pol = "marl:Positive"
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elif polValue == 0:
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pol = "marl:Neutral"
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else:
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pol = "marl:Negative"
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i["opinions"] = [{"marl:polarityValue": polValue,
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"marl:hasPolarity": pol
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}]
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i["strings"] = []
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for m in rgx.finditer(i["nif:isString"]):
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i["strings"].append({
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"@id": "{}#char={},{}".format(contextid, m.start(), m.end()),
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"nif:beginIndex": m.start(),
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"nif:endIndex": m.end(),
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"nif:anchorOf": m.group(0)
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})
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return response
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app.analyse = hard_analysis
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app.register_blueprint(nif_server)
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if __name__ == '__main__':
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app.debug = config.DEBUG
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app.run()
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