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https://github.com/gsi-upm/senpy
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41 lines
1.5 KiB
Python
41 lines
1.5 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 Results, Sentiment, Entry
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class Sentiment140Plugin(SentimentPlugin):
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def analyse(self, **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({"language": lang,
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"data": [{"text": params["input"]}]
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}
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)
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)
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p = params.get("prefix", None)
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response = Results(prefix=p)
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polarity_value = self.maxPolarityValue*int(res.json()["data"][0]
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["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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entry = Entry(id="Entry0",
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nif__isString=params["input"])
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sentiment = Sentiment(id="Sentiment0",
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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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response.entries.append(entry)
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return response
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