mirror of
https://github.com/gsi-upm/senpy
synced 2024-09-21 06:01:43 +00:00
77 lines
2.9 KiB
Python
77 lines
2.9 KiB
Python
import time
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import logging
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import requests
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import json
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import string
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import os
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from os import path
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import time
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from senpy.plugins import SentimentPlugin, SenpyPlugin
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from senpy.models import Results, Entry, Sentiment,Error
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logger = logging.getLogger(__name__)
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class DaedalusPlugin(SentimentPlugin):
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def _polarity(self, value):
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if 'NONE' in value:
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polarity = 'marl:Neutral'
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polarityValue = 0
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elif 'N' in value:
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polarity = 'marl:Negative'
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polarityValue = -1
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elif 'P' in value:
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polarity = 'marl:Positive'
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polarityValue = 1
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return polarity, polarityValue
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def analyse_entry(self, entry, params):
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txt = entry.get("text",None)
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model = "general" # general_es / general_es / general_fr
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api = 'http://api.meaningcloud.com/sentiment-2.1'
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lang = params.get("language")
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key = params["apiKey"]
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parameters = {'key': key,
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'model': model,
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'lang': lang,
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'of': 'json',
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'txt': txt,
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'src': 'its-not-a-real-python-sdk'
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}
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try:
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r = requests.post(api, params=parameters, timeout=3)
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except requests.exceptions.Timeout:
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raise Error("Meaning Cloud API does not response")
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api_response = r.json()
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if not api_response.get('score_tag'):
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raise Error(r.json())
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logger.info(api_response)
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response = Results()
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agg_polarity, agg_polarityValue = self._polarity(api_response.get('score_tag', None))
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agg_opinion = Sentiment(id="Opinion0",
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marl__hasPolarity=agg_polarity,
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marl__polarityValue = agg_polarityValue,
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marl__opinionCount = len(api_response['sentence_list']))
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entry.sentiments.append(agg_opinion)
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logger.info(api_response['sentence_list'])
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count = 1
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for sentence in api_response['sentence_list']:
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for nopinion in sentence['segment_list']:
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logger.info(nopinion)
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polarity, polarityValue = self._polarity(nopinion.get('score_tag', None))
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opinion = Sentiment(id="Opinion{}".format(count),
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marl__hasPolarity=polarity,
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marl__polarityValue=polarityValue,
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marl__aggregatesOpinion=agg_opinion.get('id'),
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nif__anchorOf=nopinion.get('text', None),
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nif__beginIndex=nopinion.get('inip', None),
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nif__endIndex=nopinion.get('endp', None)
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)
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count += 1
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entry.sentiments.append(opinion)
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yield entry
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