Zhang first pdf
1
want he said might be right, but not include enough information, so we could thought this review as a useless review. tokenize POS-tagging stopwords lemmatiz e score(w i )= c ⇤ w i - P 5 k 6=⇤,k =1 γ · c k w i ) log( P 5 k =1 c k w i ) , ⇤ is most frequency rating score(r j )= P w i 2r j score(w i ) len(r j ) γ : discount rate c k w i :# of word i in rating k reviews len(r j ):# of words in review j 1 2 3 4 5
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Transcript of Zhang first pdf
want he said might be right,but not include enough information,
so we could thought this review as a useless review.
tokenize
POS-tagging
stopwords
lemmatize
score(wi) =c
⇤wi �
P5k 6=⇤,k=1 � · ckwi
)
log(
P5k=1 c
kwi)
, ⇤ is most frequency rating
score(rj) =
Pwi2rj
score(wi)
len(rj)
� : discount rate
c
kwi
: # of word i in rating k reviews
len(rj) : # of words in review j
1 2 3 4 5
