def parse_str(names):
names = names.lower()
for target, to_replace in aliases.items():
for rp in to_replace:
names = names.replace(rp,target)
ascii_str = remover_acentos(names)
return ascii_str
def query(text):
if not text:
return None
obj = TextProcessing("PUBqD=D4=4KKr4WvOfxh#VMkayw$W-iO", "PRI-@KOUBovv#gV-cPGC3wd$%P2fYU3k")
try:
return obj.sentiment(util.remover_acentos(text))
except Exception:
return {'label' : 'erro'}
def analise(tweets_list, query, my_queue, d1, d2, d3):
for tweet in tweets_list:
text_without_accents = util.remover_acentos(tweet['text'])
if text_without_accents:
analise1 = alchemy.classifyAlchemyAPI(text_without_accents) if d1 else {'label' : 'off'}
analise2 = analyse_textprocessing(text_without_accents) if d2 else {'label' : 'off'}
analise3 = analyse_affin(text_without_accents) if d3 else {'label' : 'off'}
my_queue.put((tweet, analise1, analise2, analise3))
else:
my_queue.put((tweet, {'label' : 'error'}, {'label' : 'error'}, {'label' : 'error'}))