def oneS(document):
grades = {"注册会员":1,"铁牌会员":2,"铜牌会员":3,"银牌会员":4,"金牌会员":5,"钻石会员":6,"双钻石会员":7,"企业客户":8}
timeSTR,vip,votes,length,text = dict2review(document)
vip = vip.encode('utf8')
vip = grades[vip]
print "votes",votes
print length
print text
text = text.encode("utf8")
seged = seg(text)
posed = pos(seged)
npOP,fCNT = opinionSEARCH3(posed)
## time
now = datetime.now()
stime = time.strptime(timeSTR, "%Y-%m-%d %H:%M")
dt = datetime.fromtimestamp(mktime(stime))
timeduration = str(now - dt)
days = timeduration.split()[0]
sentiment = sentiFLY(text)
## digitalized indicators
print vip,votes,days,length,fCNT,sentiment
return vip,votes,days,length,fCNT,sentiment
def oneS(document):
grades = {
"注册会员": 1,
"铁牌会员": 2,
"铜牌会员": 3,
"银牌会员": 4,
"金牌会员": 5,
"钻石会员": 6,
"双钻石会员": 7,
"企业客户": 8
}
timeSTR, vip, votes, length, text = dict2review(document)
vip = vip.encode('utf8')
vip = grades[vip]
print "votes", votes
print length
print text
text = text.encode("utf8")
seged = seg(text)
posed = pos(seged)
npOP, fCNT = opinionSEARCH3(posed)
## time
now = datetime.now()
stime = time.strptime(timeSTR, "%Y-%m-%d %H:%M")
dt = datetime.fromtimestamp(mktime(stime))
timeduration = str(now - dt)
days = timeduration.split()[0]
sentiment = sentiFLY(text)
## digitalized indicators
print vip, votes, days, length, fCNT, sentiment
return vip, votes, days, length, fCNT, sentiment
def fetchFstat():
db = dbCON('192.168.0.155',27017,'jd')
print db
coll = db['mobile_evaluation']
qresult = coll.find({"pid": "1022456996"})
#starsSTAT(db,'mobile_evaluation',"1022456996")
##feature dictionary to store the feature statistic result
fdict = {}
for i in qresult:
text = i['opnion'].encode("utf8")
seged = seg(text)
try:
posed = pos(seged)
except:
print "oopsss"
npop = opinionSEARCH3(posed)[0]
if npop:
for j in npop:
countSTREAM(j,fdict)
showCOUNT(fdict)
return fdict
def fetchFstat():
db = dbCON('192.168.0.155', 27017, 'jd')
print db
coll = db['mobile_evaluation']
qresult = coll.find({"pid": "1022456996"})
#starsSTAT(db,'mobile_evaluation',"1022456996")
##feature dictionary to store the feature statistic result
fdict = {}
for i in qresult:
text = i['opnion'].encode("utf8")
seged = seg(text)
try:
posed = pos(seged)
except:
print "oopsss"
npop = opinionSEARCH3(posed)[0]
if npop:
for j in npop:
countSTREAM(j, fdict)
showCOUNT(fdict)
return fdict