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https://github.com/gsi-upm/senpy
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@ -19,7 +19,7 @@ class unifiedPlugin(SentimentPlugin):
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def deactivate(self, *args, **kwargs):
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self.close()
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self.save()
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def analyse(self, **kwargs):
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@ -15,7 +15,6 @@ from pattern.en import parse
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from senpy.plugins import EmotionPlugin, SenpyPlugin, ShelfMixin
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from senpy.models import Results, EmotionSet, Entry, Emotion
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logger = logging.getLogger(__name__)
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class EmotionTextPlugin(EmotionPlugin, ShelfMixin):
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@ -67,27 +66,25 @@ class EmotionTextPlugin(EmotionPlugin, ShelfMixin):
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'sadness': 'sadness'}
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self._load_emotions(self._info['hierarchy_path'])
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self._load_emotions(self.hierarchy_path)
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if 'total_synsets' not in self.sh:
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total_synsets = self._load_synsets(self._info['synsets_path'])
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total_synsets = self._load_synsets(self.synsets_path)
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self.sh['total_synsets'] = total_synsets
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self._total_synsets = self.sh['total_synsets']
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if 'wn16' not in self.sh:
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self._wn16_path = self._info['wn16_path']
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self._wn16_path = self.wn16_path
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wn16 = WordNetCorpusReader(os.path.abspath("{0}".format(self._wn16_path)), nltk.data.find(self._wn16_path))
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self.sh['wn16'] = wn16
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self._wn16 = self.sh['wn16']
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logger.info("EmoText plugin is ready to go!")
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def deactivate(self, *args, **kwargs):
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self.save()
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logger.info("EmoText plugin is being deactivated...")
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def _my_preprocessor(self, text):
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@ -166,11 +163,9 @@ class EmotionTextPlugin(EmotionPlugin, ShelfMixin):
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return feature_set
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def analyse(self, **params):
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def analyse_entry(self, entry, params):
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logger.debug("Analysing with params {}".format(params))
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text_input = params.get("input", None)
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text_input = entry.get("text", None)
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text=self._my_preprocessor(text_input)
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@ -178,8 +173,6 @@ class EmotionTextPlugin(EmotionPlugin, ShelfMixin):
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response = Results()
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entry = Entry(id="Entry",
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text=text_input)
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emotionSet = EmotionSet(id="Emotions0")
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emotions = emotionSet.onyx__hasEmotion
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@ -188,5 +181,5 @@ class EmotionTextPlugin(EmotionPlugin, ShelfMixin):
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onyx__hasEmotionIntensity=feature_text[i]))
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entry.emotions = [emotionSet]
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response.entries.append(entry)
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return response
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yield entry
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@ -8,23 +8,16 @@
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"language": {
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"aliases": ["language", "l"],
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"required": true,
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"options": ["en"],
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"default": "en"
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}
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},
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"requirements": {},
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"synsets_path": "/senpy-plugins-data/emotion-wnaffect/a-synsets.xml",
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"hierarchy_path": "/senpy-plugins-data/emotion-wnaffect/a-hierarchy.xml",
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"wn16_path": "/senpy-plugins-data/emotion-wnaffect/wordnet1.6/dict",
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"synsets_path": "/data/emotion-wnaffect/a-synsets.xml",
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"hierarchy_path": "/data/emotion-wnaffect/a-hierarchy.xml",
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"wn16_path": "/data/emotion-wnaffect/wordnet1.6/dict",
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"onyx:usesEmotionModel": "emoml:big6",
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"requirements": [
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"nltk>=3.0.5",
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"numpy>=1.8.2",
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"scipy>=0.14.0",
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"scikit-learn>=0.14.1",
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"lxml>=3.4.2",
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"pandas",
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"senpy",
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"pattern",
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"textblob"
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]
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}
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@ -7,11 +7,6 @@ logger = logging.getLogger(__name__)
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class ExamplePlugin(SentimentPlugin):
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def __init__(self, *args, **kwargs):
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super(ExamplePlugin, self).__init__(*args, **kwargs)
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logger.warn('%s: the answer to life, the universe and everything'
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% self._info.get('custom_attribute'))
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def analyse(self, *args, **kwargs):
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logger.warn('Analysing with the example.')
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logger.warn('The answer to this response is: %s.' % kwargs['parameter'])
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@ -6,17 +6,19 @@ from senpy.models import Results, Sentiment, Entry
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class Sentiment140Plugin(SentimentPlugin):
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def analyse(self, **params):
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def analyse(self,entry,params):
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lang = params.get("language", "auto")
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res = requests.post("http://www.sentiment140.com/api/bulkClassifyJson",
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json.dumps({"language": lang,
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"data": [{"text": params["input"]}]
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"data": [{"text": entry.get("text",None)}]
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}
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)
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)
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p = params.get("prefix", None)
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response = Results(prefix=p)
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polarity_value = self.maxPolarityValue*int(res.json()["data"][0]
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["polarity"]) * 0.25
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polarity = "marl:Neutral"
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@ -25,16 +27,10 @@ class Sentiment140Plugin(SentimentPlugin):
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polarity = "marl:Positive"
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elif polarity_value < neutral_value:
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polarity = "marl:Negative"
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entry = Entry(id="Entry0",
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nif__isString=params["input"])
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sentiment = Sentiment(id="Sentiment0",
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prefix=p,
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marl__hasPolarity=polarity,
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marl__polarityValue=polarity_value)
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sentiment.prov__wasGeneratedBy = self.id
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entry.sentiments = []
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entry.sentiments.append(sentiment)
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entry.language = lang
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response.entries.append(entry)
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return response
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yield entry
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@ -13,24 +13,16 @@ from os import path
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from senpy.plugins import SentimentPlugin, SenpyPlugin
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from senpy.models import Results, Entry, Sentiment
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logger = logging.getLogger(__name__)
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class SentiTextPlugin(SentimentPlugin):
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def __init__(self, info, *args, **kwargs):
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super(SentiTextPlugin, self).__init__(info, *args, **kwargs)
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self.id = info['module']
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base = path.abspath(path.dirname(__file__))
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self.swn_path = path.join(base, info['sentiword_path'])
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self.pos_path = path.join(base, info['pos_path'])
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self._swn = None
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self._pos_tagger = None
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def _load_swn(self):
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self.swn_path = path.join(path.abspath(path.dirname(__file__)), self.sentiword_path)
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swn = SentiWordNet(self.swn_path)
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return swn
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def _load_pos_tagger(self):
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self.pos_path = path.join(path.abspath(path.dirname(__file__)), self.pos_path)
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with open(self.pos_path, 'r') as f:
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tagger = pickle.load(f)
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return tagger
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@ -38,12 +30,6 @@ class SentiTextPlugin(SentimentPlugin):
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def activate(self, *args, **kwargs):
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self._swn = self._load_swn()
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self._pos_tagger = self._load_pos_tagger()
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logger.info("SentiText plugin is ready to go!")
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def deactivate(self, *args, **kwargs):
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logger.info("SentiText plugin is being deactivated...")
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def _remove_punctuation(self, tokens):
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return [t for t in tokens if t not in string.punctuation]
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@ -80,10 +66,9 @@ class SentiTextPlugin(SentimentPlugin):
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return None
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def analyse(self, **params):
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logger.debug("Analysing with params {}".format(params))
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def analyse_entry(self, entry, params):
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text = params.get("input", None)
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text = entry.get("text", None)
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tokens = self._tokenize(text)
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tokens = self._pos(tokens)
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@ -95,7 +80,6 @@ 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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logger.debug("Tokens: {}".format(tokens))
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trans = TextBlob(unicode(text)).translate(from_lang='es',to='en')
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useful_synsets = {}
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@ -107,7 +91,6 @@ 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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logger.debug("Synsets used for analysis: {}".format(useful_synsets))
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scores = {}
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for i in tokens:
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@ -128,12 +111,10 @@ 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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logger.debug("All scores (some not used): {}".format(scores))
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lang = params.get("language", "auto")
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p = params.get("prefix", None)
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response = Results()
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for i in scores:
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n_pos = 0.0
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@ -158,17 +139,11 @@ class SentiTextPlugin(SentimentPlugin):
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elif g_score < 0.5:
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polarity = 'marl:Negative'
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entry = Entry(id="Entry"+str(i),
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nif_isString=tokens[i]['sentence'])
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opinion = Sentiment(id="Opinion0"+'_'+str(i),
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marl__hasPolarity=polarity,
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marL__polarityValue=float("{0:.2f}".format(g_score)))
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opinion["prov:wasGeneratedBy"] = self.id
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entry.sentiments = []
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entry.sentiments.append(opinion)
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entry.language = lang
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response.entries.append(entry)
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return response
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yield entry
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@ -12,7 +12,11 @@
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"default": "es"
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}
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},
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"requirements": {},
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"requirements": [
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"nltk>=3.0.5",
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"scipy>=0.14.0",
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"textblob"
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],
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"sentiword_path": "SentiWordNet_3.0.txt",
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"pos_path": "unigram_spanish.pickle"
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}
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@ -10,23 +10,15 @@ from senpy.models import Results, Entry, Sentiment,Error
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class DaedalusPlugin(SentimentPlugin):
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def activate(self, *args, **kwargs):
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pass
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def analyse_entry(self, entry, params):
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def deactivate(self, *args, **kwargs):
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self.close()
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def analyse(self, **params):
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txt = params["input"]
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txt = entry.get("text",None)
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model = params["model"] # general_es / general_es / general_fr
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api = 'http://api.meaningcloud.com/sentiment-2.1'
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lang = params.get("language")
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key = params["apiKey"]
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parameters = {'key': key,'model': model,'lang': lang,'of': 'json','txt': txt,'src': 'its-not-a-real-python-sdk'}
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r = requests.post(api, params=parameters)
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print(r.text)
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value = r.json().get('score_tag', None)
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if not value:
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@ -42,10 +34,8 @@ class DaedalusPlugin(SentimentPlugin):
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elif 'P' in value:
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polarity = 'marl:Positive'
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polarityValue = 1
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entry = Entry(id="Entry0",nif_isString=txt)
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opinion = Sentiment(id="Opinion0",marl__hasPolarity=polarity,marl__polarityValue = polarityValue)
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opinion["prov:wasGeneratedBy"] = self.id
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entry.sentiments = []
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entry.sentiments.append(opinion)
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response.entries.append(entry)
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return response
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yield entry
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