mirror of
https://github.com/gsi-upm/senpy
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46 lines
1.6 KiB
Python
46 lines
1.6 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 Response, Opinion, Entry
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class Sentiment140Plugin(SentimentPlugin):
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EXTRA_PARAMS = {
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"language": {"aliases": ["language", "l"],
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"required": False,
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"options": ["es", "en", "auto"],
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}
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}
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def __init__(self, **kwargs):
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super(Sentiment140Plugin, self).__init__(name="sentiment140",
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version="2.0",
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extraparams=self.EXTRA_PARAMS,
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**kwargs)
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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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response = Response()
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polarity_value = int(res.json()["data"][0]["polarity"]) * 25
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polarity = "marl:Neutral"
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if polarity_value > 50:
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polarity = "marl:Positive"
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elif polarity_value < 50:
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polarity = "marl:Negative"
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entry = Entry(text=params["input"])
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opinion = Opinion(hasPolarity=polarity, polarityValue=polarity_value)
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entry.opinions.append(opinion)
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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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plugin = Sentiment140Plugin()
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