Adding sentiment analysis REST endpoint to analyze the sentiment of n…

…ews abstract.

sentimentAPI.py

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+from flask import Flask, request, Response, jsonify
+import  requests
+import json
+import jsonpickle
+import logging
+import codecs
+
+from vaderSentiment.vaderSentiment import SentimentIntensityAnalyzer
+
+
+# Initialize the Flask application
+app = Flask(__name__)
+
+log = logging.getLogger('werkzeug')
+log.setLevel(logging.DEBUG)
+
+
+def getSentiment(sentence):
+    sid_obj = SentimentIntensityAnalyzer()
+    sentiment_dict = sid_obj.polarity_scores(sentence)
+    sentimentScore = sentiment_dict['compound']
+    return sentimentScore
+
+
+@app.route('/apiv1/sentiment', methods=[ 'GET'])
+def sentiment():
+    sentences = json.loads(request.data)
+    print(sentences)
+    sentences = list(sentences)
+    response = []
+
+    try:
+        for sentence in sentences:
+            score = getSentiment(sentence)
+            response.append(score) 
+
+    except:
+        print("Request to sentiment endpoint was unsuccessful.")
+
+    response_pickled = jsonpickle.encode(response)
+    return Response(response=response_pickled, status=200, mimetype="application/json")
+
+app.run(host="0.0.0.0", port=5000)