senpy/sentiment-140/sentiment-140.py

import requests
import json

from senpy.plugins import SentimentPlugin
from senpy.models import Results, Sentiment, Entry


class Sentiment140Plugin(SentimentPlugin):
    
    def analyse(self,entry,params):
        
        lang = params.get("language", "auto")
        res = requests.post("http://www.sentiment140.com/api/bulkClassifyJson",
                            json.dumps({"language": lang,
                                        "data": [{"text": entry.get("text",None)}]
                                        }
                                       )
                            )

        p = params.get("prefix", None)
        
        polarity_value = self.maxPolarityValue*int(res.json()["data"][0]
                                                   ["polarity"]) * 0.25
        polarity = "marl:Neutral"
        neutral_value = self.maxPolarityValue / 2.0
        if polarity_value > neutral_value:
            polarity = "marl:Positive"
        elif polarity_value < neutral_value:
            polarity = "marl:Negative"
        sentiment = Sentiment(id="Sentiment0",
                            prefix=p,
                            marl__hasPolarity=polarity,
                            marl__polarityValue=polarity_value)
        entry.sentiments.append(sentiment)

        yield entry