def test_run(self):
r = Rake()
phrases = r.run(self.test_text)
scored_phrases = r.run(self.test_text, with_scores=True)
for phrase in phrases:
self.assertEqual(type(phrase), str)
for score, phrase in scored_phrases:
self.assertEqual(type(score), float)
self.assertEqual(type(phrase), str)
def extractKeywordsUsingRake(subject, num_char=3, num_words=3, num_freq=2):
stoppath = 'smartStopList.txt'
Rake = RAKE.Rake(RAKE.SmartStopList())
#Wikipedia module exract page content from wiki page
extractedText = wikipedia.page(subject).content
#(number of char in keyword, upto how many words, min freq of keyword)
res = Rake.run(extractedText, num_char, num_words, num_freq)
return res
try:
desc = news['metadata']['description'].replace('<p>', '').replace(
'</p>', '').replace('...', '').replace('\n', '').replace(
'[…]',
'').replace(' ', '').replace('”', '').replace(
' ',
'').replace('’',
'').replace('“',
'').replace('’', '')
df_ele = [
news['published_at'][:19], news['title'], desc,
". ".join([news['title'], desc])
]
print("-Title: %s" % df_ele[1])
print("-Description: %s" % df_ele[2])
title_kw = Rake.run(df_ele[1], maxWords=2)
if len(title_kw) != 0:
print("-Keywords from title: %s" % title_kw[0][0])
else:
print("-Keywords from title: []")
description_kw = Rake.run(df_ele[2], maxWords=2)
if len(description_kw) != 0:
print("-Keywords from description: %s" % description_kw[0][0])
else:
print("-Keywords from description: []")
title_description_kw = Rake.run(df_ele[3], maxWords=2)
if len(title_description_kw) != 0:
print("-Keywords from title & description: %s" %
title_description_kw[0][0])
kw = title_description_kw[0][0]
else:
uniqbiz=set(list(train.biz))#
reviws=[]#review grouped by each restaurant
for biz in uniqbiz:
biz_reviw=list(train.loc[train.biz==biz,"text"])
biz_onestr=" ".join(biz_reviw)
reviws.append(biz_onestr)
print(datetime.datetime.now())#1
keywords=[]
for rev in reviws:
#r=Rake()
#r.extract_keywords_from_text(rev)
#keywords.append(r.get_ranked_phrases()[0:5])
Rake = rk.Rake(rk.SmartStopList())
kw=Rake.run(rev)
kwap=[]
counter=0
invalid = ['+', '=', '/', '@', '*','_']
for k in kw:
if len(k[0].split(" "))==1 and counter<=9 and len(k[0])<=15:
flag = False
for i in invalid:
if i in k[0]:
flag = True
break
if not flag:
kwap.append(k[0])
counter=counter+1
keywords.append(kwap)