mirror of
https://github.com/gsi-upm/senpy
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43 lines
1.0 KiB
Python
43 lines
1.0 KiB
Python
import json
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import random
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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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p = params.get("prefix", None)
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response = Results(prefix=p)
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polarity_value = max(-1, min(1, random.gauss(0.2, 0.2)))
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polarity = "marl:Neutral"
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if polarity_value > 0:
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polarity = "marl:Positive"
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elif polarity_value < 0:
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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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"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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