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in precision and a 6% increase in recall, mostly in the Hotel domain, which is
rich in adjectives ( e.g. ,“ clean room ,” “ soft bed ”).
2.3.5 Finding Opinion Phrases and Their Polarity
This subsection describes how opine extracts potential opinion phrases, dis-
tinguishes between opinions and non-opinions, and finds the polarity of each
opinion in the context of its associated feature in a particular review sentence.
opine uses explicit features to identify potential opinion phrases. Our
intuition is that an opinion phrase associated with a product feature will
occur in its vicinity. This idea is similar to that of [9] and [2], but instead
of using a window of size k or the output of a noun phrase chunker, opine
takes advantage of the dependencies computed by the MINIPAR parser. Our
intuition is embodied by a set of extraction rules , the most important of which
are shown in Table 2.7. If an explicit feature is found in a sentence, opine
applies the extraction rules in order to find the heads of potential opinion
phrases. Each head word, together with its modifiers, is returned as a potential
opinion phrase.
Table 2.7. Domain-Independent Rules for Potential Opinion Phrase
Extraction. Notation: po=potential opinion, M=modifier, NP=noun phrase,
S=subject, P=predicate, O=object. Extracted phrases are enclosed in parenthe-
ses. Features are indicated by the typewriter font. The equality conditions on the
left-hand side use po 's head.
Extraction Rules Examples
if ( M, NP = f ) → po = M (expensive) scanner
if
po = O lamp has (problems)
if ( S, P, O = f ) → po = P
( S = f, P, O )
I (hate) this scanner
if ( S = f, P ) → po = P
program (crashed)
Table 2.8. Dependency Rule Templates For Finding Words w , w with
Related Semantic Orientation Labels Notation: v,w,w'=words; f, f'=feature
names; dep=dependent; m=modifier
Rule Templates
Example Rules
dependent ( w, w )
modifier ( w, w )
∃v s.t. dep ( w, v ) ,dep ( v, w )
∃v s.t. m ( w, v ) , object ( v, w )
∃v s.t. dep ( w, v ) ,dep ( w ,v )
∃v s.t. m ( w, v ) , object ( w ,v )
∃f, f s.t. dep ( w, f ) ,dep ( w ,f ) ,dep ( f, f ) ∃f, f s.t. m ( w, f ) ,m ( w ,f ) ,and ( f, f )
opine examines the potential opinion phrases in order to identify the ac-
tual opinions. First, the system finds the semantic orientation for the lexical
head of each potential opinion phrase. Every phrase whose head word has a
positive or negative semantic orientation is then retained as an opinion phrase .
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