def main_run(topicnum, winsize, bigrammin, trigrammin, fn):
global topic_num, win_size, bigram_min, trigram_min, info_num, store_num, candidate_num, app_files
topic_num = topicnum
win_size = winsize
bigram_min = bigrammin
trigram_min = trigrammin
print(topic_num, win_size, bigram_min, trigram_min, info_num, store_num,
candidate_num)
app_files = "file_upload/" + fn
extract_phrases(app_files, bigram_min, trigram_min)
load_phrase()
timed_reviews = extract_review(app_files)
#print(timed_reviews)
OLDA_input = build_AOLDA_input_version(timed_reviews)
start_t = time.time()
apk_phis = OLDA_fit(OLDA_input, topic_num, win_size)
phrases = generate_labeling_candidates(OLDA_input)
topic_labeling(OLDA_input, apk_phis, phrases, 1.0, 0.75, 0.0, save=True)
print("Totally takes %.2f seconds" % (time.time() - start_t))
def save_phrase(review_path, bigram_num, trigram):
for apk, app in app_files:
extract_phrases(app)
label_sent_fscore))
def sim_w(w1, w2, wv_model):
if w1 not in wv_model or w2 not in wv_model:
return 0.0
return wv_model.similarity(w1, w2)
def meminfo(str):
print(str, resource.getrusage(resource.RUSAGE_SELF).ru_maxrss / 1000)
def save_phrase(review_path, bigram_num, trigram):
for apk, app in app_files:
extract_phrases(app)
if __name__ == '__main__':
extract_phrases(app_files, bigram_min, trigram_min)
load_phrase()
timed_reviews = extract_review()
OLDA_input = build_AOLDA_input_version(timed_reviews)
start_t = time.time()
apk_phis = OLDA_fit(OLDA_input, topic_num, win_size)
phrases = generate_labeling_candidates(OLDA_input)
topic_labeling(OLDA_input, apk_phis, phrases, 1.0, 0.75, 0.0, save=True)
print("Totally takes %.2f seconds" % (time.time() - start_t))
))
def sim_w(w1, w2, wv_model):
if w1 not in wv_model or w2 not in wv_model:
return 0.0
return wv_model.similarity(w1, w2)
def meminfo(str):
print(str, resource.getrusage(resource.RUSAGE_SELF).ru_maxrss / 1000)
def save_phrase(review_path, bigram_num, trigram):
for apk, app in app_files:
extract_phrases(app, language=language)
if __name__ == "__main__":
extract_phrases(app_files, bigram_min, trigram_min, language=language)
load_phrase()
timed_reviews = extract_review()
OLDA_input = build_AOLDA_input_version(timed_reviews)
start_t = time.time()
apk_phis = OLDA_fit(OLDA_input, topic_num, win_size)
phrases = generate_labeling_candidates(OLDA_input)
topic_labeling(OLDA_input, apk_phis, phrases, 1.0, 0.75, 0.0, save=True)
print("Totally takes %.2f seconds" % (time.time() - start_t))
def save_phrase(review_path, bigram_num, trigram):
extract_phrases(app_files)
