service-analysis/sentiment_analysis.py

   1 # -*- coding: utf-8 -*-
   2 import json
   3 import indicoio
   4
   5 from flask import Flask, request
   6 from flask_restful import Resource, Api
   7
   8 app = Flask(__name__)
   9 api = Api(app)
  10
  11 indicoio.config.api_key = '525f16078717a430f9dac17cdc9dbaa3'
  12
  13 class Sentiment_Analysis(Resource):
  14         def get(self):
  15                 return "correct usage: curl -H 'content-type: application/json' -X POST http://localhost:8081 -d '$your JSON here$'"
  16
  17         def post(self):
  18                 tweets = request.json
  19                 value = 0
  20                 for tweet in tweets:
  21                         #possible performance improvement: batch sentiment: indicoio.sentiment($list_of_texts$)
  22                         sentiment_value = indicoio.sentiment(tweet['text'])
  23                         value += sentiment_value
  24                         #returns number between 0 and 1.
  25                         #it is a probability representing the likelihood that the analyzed text is positive or negative
  26                         #values > 0.5 indicate positive sentiment
  27                         #values < 0.5 indicate negative sentiment
  28                 return value/len(tweets)
  29
  30 api.add_resource(Sentiment_Analysis, '/')
  31
  32 if __name__ == '__main__':
  33         app.run(host="0.0.0.0", port=8081, debug=False)