Version 2.1

sentiment-smiley.py

 import nltk
-from nltk.sentiment.util import *
+from nltk.sentiment.util import HAPPY,SAD
 from nltk.tokenize.casual import casual_tokenize
+import json
 
-from senpy.plugins import SentimentPlugin
+from senpy.plugins import SentimentPlugin, ShelfMixin
 from senpy.models import Sentiment
 
 
-class SmileyPlugin(SentimentPlugin):
+class SmileyPlugin(SentimentPlugin, ShelfMixin):
     def activate(self):
-        nltk.download('punkt')
+        nltk.download('punkt', download_dir=self.download_path)
+        if 'emojis' not in self.sh:
+            with open(self.emojis_path, 'r') as f:
+                emojis = json.load(f)
+            self.sh['emojis'] = emojis    
+        self._emojis = self.sh['emojis']
+        self.save()
 
     def analyse_entry(self, entry, params):
         lang = params.get("language", "auto")
@@ -17,10 +24,10 @@ class SmileyPlugin(SentimentPlugin):
         polarity = "marl:Neutral"
         polarity_value = 0
         for token in tokens:
-            if  token in HAPPY:
+            if  token in self._emojis['HAPPY']:
                 polarity = "marl:Positive"
                 polarity_value = self.maxPolarityValue
-            elif  token in SAD:
+            elif  token in self._emojis['SAD']:
                 polarity = "marl:Negative"
                 polarity_value = self.minPolarityValue
         sentiment = Sentiment({

sentiment-smiley.senpy

@@ -18,3 +18,5 @@ extra_params:
    - es    
    - en    
    - auto
+emojis_path: "/data/emojis.json"
+download_path: "/data/nltk_data"
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