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54 lines
1.7 KiB
Python
54 lines
1.7 KiB
Python
import requests
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import json
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from senpy.plugins import SentimentPlugin
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from senpy.models import Sentiment
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class Sentiment140Plugin(SentimentPlugin):
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def analyse_entry(self, entry, params):
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lang = params.get("language", "auto")
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res = requests.post("http://www.sentiment140.com/api/bulkClassifyJson",
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json.dumps({
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"language": lang,
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"data": [{
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"text": entry.nif__isString
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}]
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}))
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p = params.get("prefix", None)
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polarity_value = self.maxPolarityValue * int(
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res.json()["data"][0]["polarity"]) * 0.25
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polarity = "marl:Neutral"
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neutral_value = self.maxPolarityValue / 2.0
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if polarity_value > neutral_value:
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polarity = "marl:Positive"
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elif polarity_value < neutral_value:
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polarity = "marl:Negative"
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sentiment = Sentiment(
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prefix=p,
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marl__hasPolarity=polarity,
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marl__polarityValue=polarity_value)
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sentiment.prov__wasGeneratedBy = self.id
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entry.sentiments = []
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entry.sentiments.append(sentiment)
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entry.language = lang
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yield entry
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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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'sentiments': [
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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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]
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