Fixed sentiment-basic plugin that only retrieved Neutral sentiment. This closes senpy/senpy-plugins-community#6. Also added nltk download for some plugins.

Dockerfile

@@ -1,15 +1,9 @@
-from gsiupm/senpy:0.6.1-python2.7
+from gsiupm/senpy:0.8.7-python2.7
 
-RUN mkdir -p /senpy-plugins
-RUN pip install nltk
 RUN python -m nltk.downloader stopwords
 RUN python -m nltk.downloader punkt
 RUN python -m nltk.downloader maxent_treebank_pos_tagger
 RUN python -m nltk.downloader wordnet
 
-RUN pip install pytest
-RUN pip install mock
 ADD . /senpy-plugins
-RUN senpy -f /senpy-plugins --only-install
 
-WORKDIR /senpy-plugins/

emotion-wnaffect/emotion-wnaffect.py

@@ -9,7 +9,6 @@ import string
 import xml.etree.ElementTree as ET
 from nltk.corpus import stopwords
 from nltk.corpus import WordNetCorpusReader
-
 from emotion import Emotion as Emo
 from pattern.en import parse
 from senpy.plugins import EmotionPlugin, SenpyPlugin, ShelfMixin
@@ -51,6 +50,8 @@ class EmotionTextPlugin(EmotionPlugin, ShelfMixin):
                 Emo.emotions[name] = Emo(name, elem.get("isa"))
 
     def activate(self, *args, **kwargs):
+        
+        nltk.download('stopwords')
         self._stopwords = stopwords.words('english')
         #local_path=os.path.dirname(os.path.abspath(__file__))
         self._categories = {'anger': ['general-dislike',],
@@ -81,8 +82,6 @@ class EmotionTextPlugin(EmotionPlugin, ShelfMixin):
         
         self._wn16 = self.sh['wn16']
 
-
-
     def deactivate(self, *args, **kwargs):
         self.save()
 

sentiment-basic/sentiment-basic.py

@@ -30,6 +30,7 @@ class SentiTextPlugin(SentimentPlugin):
         return tagger
 
     def activate(self, *args, **kwargs):
+        nltk.download(['punkt','wordnet'])
         self._swn = self._load_swn()
         self._pos_tagger = self._load_pos_tagger()
 
@@ -69,7 +70,6 @@ class SentiTextPlugin(SentimentPlugin):
 
 
     def analyse_entry(self, entry, params):
-
         language = params.get("language")
         text = entry.get("text", None)
         tokens = self._tokenize(text)
@@ -82,7 +82,6 @@ class SentiTextPlugin(SentimentPlugin):
                 if len(lemmas) == 0:
                     continue
                 tokens[i]['lemmas'][w[0]] = lemmas
-
         if language == "en":
             trans = TextBlob(unicode(text))
         else:
@@ -96,11 +95,10 @@ class SentiTextPlugin(SentimentPlugin):
                     continue
                 eq_synset = self._compare_synsets(synsets, tokens, s_i)
                 useful_synsets[s_i][t_w] = eq_synset
-
         scores = {}
         for i in tokens:
             scores[i] = {}
-            if useful_synsets is None:   
+            if useful_synsets != None:   
                 for word in useful_synsets[i]:
                     if useful_synsets[i][word] is None:
                         continue
@@ -116,9 +114,7 @@ class SentiTextPlugin(SentimentPlugin):
                             score['score'] = f_score
                             scores[i][word] = score
                             break
-
         p = params.get("prefix", None)
-
         for i in scores:
             n_pos = 0.0
             n_neg = 0.0
@@ -127,7 +123,6 @@ class SentiTextPlugin(SentimentPlugin):
                     n_pos += 1.0
                 elif scores[i][w]['score'] == 'neg':
                     n_neg += 1.0
-
             inter = interp1d([-1.0, 1.0], [0.0, 1.0])
             try:
                 g_score = (n_pos - n_neg) / (n_pos + n_neg)
@@ -135,7 +130,6 @@ class SentiTextPlugin(SentimentPlugin):
             except:
                 if n_pos == 0 and n_neg == 0:
                     g_score = 0.5
-
             polarity = 'marl:Neutral'
             if g_score > 0.5:
                 polarity = 'marl:Positive'