balkian/senpy
1
0
Fork 0
mirror of https://github.com/gsi-upm/senpy synced 2024-12-22 13:08:13 +00:00
Code Issues Releases Wiki Activity

cambios

Browse Source
This commit is contained in:
militarpancho 2017-02-28 14:27:18 +01:00
parent 9ea177a780
commit 65b8873092
8 changed files with 35 additions and 89 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

2
affect/affect.py
View File

@ -19,7 +19,7 @@ class unifiedPlugin(SentimentPlugin):
def deactivate(self, *args, **kwargs):
self.close()
self.save()
def analyse(self, **kwargs):

21
emotion-wnaffect/emotion-wnaffect.py
View File

@ -15,7 +15,6 @@ from pattern.en import parse
from senpy.plugins import EmotionPlugin, SenpyPlugin, ShelfMixin
from senpy.models import Results, EmotionSet, Entry, Emotion
logger = logging.getLogger(__name__)
class EmotionTextPlugin(EmotionPlugin, ShelfMixin):
@ -67,27 +66,25 @@ class EmotionTextPlugin(EmotionPlugin, ShelfMixin):
'sadness': 'sadness'}
self._load_emotions(self._info['hierarchy_path'])
self._load_emotions(self.hierarchy_path)
if 'total_synsets' not in self.sh:
total_synsets = self._load_synsets(self._info['synsets_path'])
total_synsets = self._load_synsets(self.synsets_path)
self.sh['total_synsets'] = total_synsets
self._total_synsets = self.sh['total_synsets']
if 'wn16' not in self.sh:
self._wn16_path = self._info['wn16_path']
self._wn16_path = self.wn16_path
wn16 = WordNetCorpusReader(os.path.abspath("{0}".format(self._wn16_path)), nltk.data.find(self._wn16_path))
self.sh['wn16'] = wn16
self._wn16 = self.sh['wn16']
logger.info("EmoText plugin is ready to go!")
def deactivate(self, *args, **kwargs):
self.save()
logger.info("EmoText plugin is being deactivated...")
def _my_preprocessor(self, text):
@ -166,11 +163,9 @@ class EmotionTextPlugin(EmotionPlugin, ShelfMixin):
return feature_set
def analyse(self, **params):
def analyse_entry(self, entry, params):
logger.debug("Analysing with params {}".format(params))
text_input = params.get("input", None)
text_input = entry.get("text", None)
text=self._my_preprocessor(text_input)
@ -178,8 +173,6 @@ class EmotionTextPlugin(EmotionPlugin, ShelfMixin):
response = Results()
entry = Entry(id="Entry",
text=text_input)
emotionSet = EmotionSet(id="Emotions0")
emotions = emotionSet.onyx__hasEmotion
@ -188,5 +181,5 @@ class EmotionTextPlugin(EmotionPlugin, ShelfMixin):
onyx__hasEmotionIntensity=feature_text[i]))
entry.emotions = [emotionSet]
response.entries.append(entry)
return response
yield entry

15
emotion-wnaffect/emotion-wnaffect.senpy
View File

@ -8,23 +8,16 @@
"language": {
"aliases": ["language", "l"],
"required": true,
"options": ["en"],
"default": "en"
}
},
"requirements": {},
"synsets_path": "/senpy-plugins-data/emotion-wnaffect/a-synsets.xml",
"hierarchy_path": "/senpy-plugins-data/emotion-wnaffect/a-hierarchy.xml",
"wn16_path": "/senpy-plugins-data/emotion-wnaffect/wordnet1.6/dict",
"synsets_path": "/data/emotion-wnaffect/a-synsets.xml",
"hierarchy_path": "/data/emotion-wnaffect/a-hierarchy.xml",
"wn16_path": "/data/emotion-wnaffect/wordnet1.6/dict",
"onyx:usesEmotionModel": "emoml:big6",
"requirements": [
"nltk>=3.0.5",
"numpy>=1.8.2",
"scipy>=0.14.0",
"scikit-learn>=0.14.1",
"lxml>=3.4.2",
"pandas",
"senpy",
"pattern",
"textblob"
]
}

5
example-plugin/example.py
View File

@ -7,11 +7,6 @@ logger = logging.getLogger(__name__)
class ExamplePlugin(SentimentPlugin):
def __init__(self, *args, **kwargs):
super(ExamplePlugin, self).__init__(*args, **kwargs)
logger.warn('%s: the answer to life, the universe and everything'
% self._info.get('custom_attribute'))
def analyse(self, *args, **kwargs):
logger.warn('Analysing with the example.')
logger.warn('The answer to this response is: %s.' % kwargs['parameter'])

18
sentiment-140/sentiment-140.py
View File

@ -6,17 +6,19 @@ from senpy.models import Results, Sentiment, Entry
class Sentiment140Plugin(SentimentPlugin):
def analyse(self, **params):
def analyse(self,entry,params):
lang = params.get("language", "auto")
res = requests.post("http://www.sentiment140.com/api/bulkClassifyJson",
json.dumps({"language": lang,
"data": [{"text": params["input"]}]
"data": [{"text": entry.get("text",None)}]
}
)
)
p = params.get("prefix", None)
response = Results(prefix=p)
polarity_value = self.maxPolarityValue*int(res.json()["data"][0]
["polarity"]) * 0.25
polarity = "marl:Neutral"
@ -25,16 +27,10 @@ class Sentiment140Plugin(SentimentPlugin):
polarity = "marl:Positive"
elif polarity_value < neutral_value:
polarity = "marl:Negative"
entry = Entry(id="Entry0",
nif__isString=params["input"])
sentiment = Sentiment(id="Sentiment0",
prefix=p,
marl__hasPolarity=polarity,
marl__polarityValue=polarity_value)
sentiment.prov__wasGeneratedBy = self.id
entry.sentiments = []
entry.sentiments.append(sentiment)
entry.language = lang
response.entries.append(entry)
return response
yield entry

37
sentiment-basic/sentiment-basic.py
View File

@ -13,24 +13,16 @@ from os import path
from senpy.plugins import SentimentPlugin, SenpyPlugin
from senpy.models import Results, Entry, Sentiment
logger = logging.getLogger(__name__)
class SentiTextPlugin(SentimentPlugin):
def __init__(self, info, *args, **kwargs):
super(SentiTextPlugin, self).__init__(info, *args, **kwargs)
self.id = info['module']
base = path.abspath(path.dirname(__file__))
self.swn_path = path.join(base, info['sentiword_path'])
self.pos_path = path.join(base, info['pos_path'])
self._swn = None
self._pos_tagger = None
def _load_swn(self):
self.swn_path = path.join(path.abspath(path.dirname(__file__)), self.sentiword_path)
swn = SentiWordNet(self.swn_path)
return swn
def _load_pos_tagger(self):
self.pos_path = path.join(path.abspath(path.dirname(__file__)), self.pos_path)
with open(self.pos_path, 'r') as f:
tagger = pickle.load(f)
return tagger
@ -38,12 +30,6 @@ class SentiTextPlugin(SentimentPlugin):
def activate(self, *args, **kwargs):
self._swn = self._load_swn()
self._pos_tagger = self._load_pos_tagger()
logger.info("SentiText plugin is ready to go!")
def deactivate(self, *args, **kwargs):
logger.info("SentiText plugin is being deactivated...")
def _remove_punctuation(self, tokens):
return [t for t in tokens if t not in string.punctuation]
@ -80,10 +66,9 @@ class SentiTextPlugin(SentimentPlugin):
return None
def analyse(self, **params):
logger.debug("Analysing with params {}".format(params))
def analyse_entry(self, entry, params):
text = params.get("input", None)
text = entry.get("text", None)
tokens = self._tokenize(text)
tokens = self._pos(tokens)
@ -95,7 +80,6 @@ class SentiTextPlugin(SentimentPlugin):
if len(lemmas) == 0:
continue
tokens[i]['lemmas'][w[0]] = lemmas
logger.debug("Tokens: {}".format(tokens))
trans = TextBlob(unicode(text)).translate(from_lang='es',to='en')
useful_synsets = {}
@ -107,7 +91,6 @@ class SentiTextPlugin(SentimentPlugin):
continue
eq_synset = self._compare_synsets(synsets, tokens, s_i)
useful_synsets[s_i][t_w] = eq_synset
logger.debug("Synsets used for analysis: {}".format(useful_synsets))
scores = {}
for i in tokens:
@ -128,12 +111,10 @@ class SentiTextPlugin(SentimentPlugin):
score['score'] = f_score
scores[i][word] = score
break
logger.debug("All scores (some not used): {}".format(scores))
lang = params.get("language", "auto")
p = params.get("prefix", None)
response = Results()
for i in scores:
n_pos = 0.0
@ -158,17 +139,11 @@ class SentiTextPlugin(SentimentPlugin):
elif g_score < 0.5:
polarity = 'marl:Negative'
entry = Entry(id="Entry"+str(i),
nif_isString=tokens[i]['sentence'])
opinion = Sentiment(id="Opinion0"+'_'+str(i),
marl__hasPolarity=polarity,
marL__polarityValue=float("{0:.2f}".format(g_score)))
opinion["prov:wasGeneratedBy"] = self.id
entry.sentiments = []
entry.sentiments.append(opinion)
entry.language = lang
response.entries.append(entry)
return response
yield entry

6
sentiment-basic/sentiment-basic.senpy
View File

@ -12,7 +12,11 @@
"default": "es"
}
},
"requirements": {},
"requirements": [
"nltk>=3.0.5",
"scipy>=0.14.0",
"textblob"
],
"sentiword_path": "SentiWordNet_3.0.txt",
"pos_path": "unigram_spanish.pickle"
}

20
sentiment-meaningCloud/sentiment-meaningCloud.py
View File

@ -10,23 +10,15 @@ from senpy.models import Results, Entry, Sentiment,Error
class DaedalusPlugin(SentimentPlugin):
def activate(self, *args, **kwargs):
pass
def analyse_entry(self, entry, params):
def deactivate(self, *args, **kwargs):
self.close()
def analyse(self, **params):
txt = params["input"]
txt = entry.get("text",None)
model = params["model"] # general_es / general_es / general_fr
api = 'http://api.meaningcloud.com/sentiment-2.1'
lang = params.get("language")
key = params["apiKey"]
parameters = {'key': key,'model': model,'lang': lang,'of': 'json','txt': txt,'src': 'its-not-a-real-python-sdk'}
r = requests.post(api, params=parameters)
print(r.text)
value = r.json().get('score_tag', None)
if not value:
@ -42,10 +34,8 @@ class DaedalusPlugin(SentimentPlugin):
elif 'P' in value:
polarity = 'marl:Positive'
polarityValue = 1
entry = Entry(id="Entry0",nif_isString=txt)
opinion = Sentiment(id="Opinion0",marl__hasPolarity=polarity,marl__polarityValue = polarityValue)
opinion["prov:wasGeneratedBy"] = self.id
entry.sentiments = []
entry.sentiments.append(opinion)
response.entries.append(entry)
return response
yield entry