def _consume_message(ch, method, properties, body):
try:
sentence = Sentence()
sentence.from_json(body)
_persist_sentence(sentence)
mq_handler.ack(method)
except Exception as e:
logging.error("Could not consume message: " + body + ".\nException:" + str(e))
def _consume_message(ch, method, properties, body):
try:
original_sentence = Sentence()
original_sentence.from_json(body)
_translate_to_all_languages(original_sentence)
mq_handler.ack(method)
except Exception as e:
logging.error(
"Could not consume message: " + body + ".\nException:" + str(e))
def segment_aspects(input_fname,out_fname):
print "begin loading sentences, ......"
with open(input_fname,"rt") as inf:
dd = json.load(inf)
sentences = [ Sentence.from_json(d) for d in dd]
print "{} sentences loaded".format(len(sentences))
######### for test and debug
# sentences = random.sample(sentences,2000)
######### end test and debug
seed_aspect_keywords = {
"Overall":set(["recommend","recommendation","love","return","best","regret","rating"]),
"Value": set(["value", "price", "quality", "worth"]),
"Room": set([ "suite", "view", "bed","spacious","noisy","small"]),
"Location": set(["location", "traffic", "minute", "parking","restaurant","shop","locate","subway","bus","airport","downtown"]),
"Cleanliness": set(["clean", "dirty", "maintain", "smell"]),
"Service": set(["staff","check", "help","service","helpful","friendly"]),
"Business service": set(["business", "center", "computer", "internet","wifi","free"])
}
segmenter = AspectSegmentation(sentences,seed_aspect_keywords)
segmenter.run()
# save resuls
print "begin dumping the results, ......"
save_segmentation_results(segmenter,out_fname)
print "!!! DONE !!!"
