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https://github.com/gsi-upm/senpy
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Fixed sentiment-basic plugin that only retrieved Neutral sentiment. This closes senpy/senpy-plugins-community#6. Also added nltk download for some plugins.
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@ -1,15 +1,9 @@
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from gsiupm/senpy:0.6.1-python2.7
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from gsiupm/senpy:0.8.7-python2.7
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RUN mkdir -p /senpy-plugins
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RUN pip install nltk
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RUN python -m nltk.downloader stopwords
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RUN python -m nltk.downloader punkt
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RUN python -m nltk.downloader maxent_treebank_pos_tagger
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RUN python -m nltk.downloader wordnet
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RUN pip install pytest
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RUN pip install mock
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ADD . /senpy-plugins
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RUN senpy -f /senpy-plugins --only-install
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WORKDIR /senpy-plugins/
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@ -9,7 +9,6 @@ import string
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import xml.etree.ElementTree as ET
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from nltk.corpus import stopwords
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from nltk.corpus import WordNetCorpusReader
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from emotion import Emotion as Emo
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from pattern.en import parse
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from senpy.plugins import EmotionPlugin, SenpyPlugin, ShelfMixin
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@ -51,6 +50,8 @@ class EmotionTextPlugin(EmotionPlugin, ShelfMixin):
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Emo.emotions[name] = Emo(name, elem.get("isa"))
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def activate(self, *args, **kwargs):
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nltk.download('stopwords')
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self._stopwords = stopwords.words('english')
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#local_path=os.path.dirname(os.path.abspath(__file__))
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self._categories = {'anger': ['general-dislike',],
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@ -81,8 +82,6 @@ class EmotionTextPlugin(EmotionPlugin, ShelfMixin):
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self._wn16 = self.sh['wn16']
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def deactivate(self, *args, **kwargs):
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self.save()
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@ -30,6 +30,7 @@ class SentiTextPlugin(SentimentPlugin):
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return tagger
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def activate(self, *args, **kwargs):
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nltk.download(['punkt','wordnet'])
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self._swn = self._load_swn()
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self._pos_tagger = self._load_pos_tagger()
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@ -69,7 +70,6 @@ class SentiTextPlugin(SentimentPlugin):
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def analyse_entry(self, entry, params):
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language = params.get("language")
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text = entry.get("text", None)
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tokens = self._tokenize(text)
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@ -82,7 +82,6 @@ class SentiTextPlugin(SentimentPlugin):
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if len(lemmas) == 0:
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continue
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tokens[i]['lemmas'][w[0]] = lemmas
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if language == "en":
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trans = TextBlob(unicode(text))
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else:
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@ -96,11 +95,10 @@ class SentiTextPlugin(SentimentPlugin):
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continue
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eq_synset = self._compare_synsets(synsets, tokens, s_i)
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useful_synsets[s_i][t_w] = eq_synset
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scores = {}
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for i in tokens:
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scores[i] = {}
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if useful_synsets is None:
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if useful_synsets != None:
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for word in useful_synsets[i]:
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if useful_synsets[i][word] is None:
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continue
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@ -116,9 +114,7 @@ class SentiTextPlugin(SentimentPlugin):
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score['score'] = f_score
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scores[i][word] = score
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break
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p = params.get("prefix", None)
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for i in scores:
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n_pos = 0.0
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n_neg = 0.0
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@ -127,7 +123,6 @@ class SentiTextPlugin(SentimentPlugin):
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n_pos += 1.0
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elif scores[i][w]['score'] == 'neg':
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n_neg += 1.0
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inter = interp1d([-1.0, 1.0], [0.0, 1.0])
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try:
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g_score = (n_pos - n_neg) / (n_pos + n_neg)
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@ -135,7 +130,6 @@ class SentiTextPlugin(SentimentPlugin):
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except:
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if n_pos == 0 and n_neg == 0:
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g_score = 0.5
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polarity = 'marl:Neutral'
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if g_score > 0.5:
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polarity = 'marl:Positive'
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@ -149,4 +143,4 @@ class SentiTextPlugin(SentimentPlugin):
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entry.sentiments.append(opinion)
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yield entry
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yield entry
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