def rule_5(dep_rel, text):
"""Extract term if rule 5 applies.
Args:
dep_rel (DepRelation): Dependency relation.
text (str): Sentence text.
"""
candidate = None
if is_subj_obj_or_mod(dep_rel) and dep_rel.dep.norm_pos == POS.ADJ:
return CandidateTerm(dep_rel.dep, dep_rel.gov, text, Polarity.UNK)
return candidate
def rule_3(dep_rel, relation_list, text):
"""Extract term if rule 3 applies.
Args:
dep_rel (DepRelation): Dependency relation.
relation_list (list of DepRelation): Generic relations between all tokens.
text (str): Sentence text.
"""
candidate = None
if dep_rel.gov.norm_pos == POS.NN and is_subj_obj_or_mod(dep_rel):
aspect = expand_aspect(dep_rel.gov, relation_list)
candidate = CandidateTerm(aspect, dep_rel.dep, text, Polarity.UNK)
return candidate
def rule_6(dep_rel, relation_list, text):
"""Extract term if rule 6 applies.
Args:
dep_rel (DepRelation): Dependency relation.
relation_list (list of DepRelation): Generic relations between all tokens.
text (str): Sentence text.
"""
candidate = None
if dep_rel.rel in ('conj_and', 'conj_but'):
aspect = expand_aspect(dep_rel.dep, relation_list)
candidate = CandidateTerm(aspect, dep_rel.gov, text, Polarity.UNK)
return candidate
def rule_2(dep_rel, relation_list, dep_entry, text):
"""Extract term if rule 2 applies.
Args:
dep_rel (DepRelation): Dependency relation.
relation_list (list of DepRelation): Generic relations between all tokens.
dep_entry (OpinionTerm): Dependent token.
text (str): Sentence text.
"""
candidate = None
for curr_rt in relation_list:
if (curr_rt.gov, curr_rt.rel, curr_rt.dep.norm_pos) == \
(dep_rel.gov, dep_rel.rel, POS.ADJ) and curr_rt.dep != dep_rel.dep:
candidate = CandidateTerm(curr_rt.dep, dep_rel.dep, text, dep_entry.polarity)
return candidate
def rule_4(dep_rel, relation_list, text):
"""Extract term if rule 4 applies.
Args:
dep_rel (DepRelation): Dependency relation.
relation_list (list of DepRelation): Generic relations between all tokens.
relation between tokens
text (str): Sentence text.
"""
candidate = None
for curr_rt in relation_list:
if curr_rt.gov == dep_rel.gov and curr_rt.dep != dep_rel.dep and \
curr_rt.dep.norm_pos == POS.NN and is_subj_obj_or_mod(curr_rt) and \
is_subj_obj_or_mod(dep_rel):
aspect = expand_aspect(curr_rt.dep, relation_list)
candidate = CandidateTerm(aspect, dep_rel.dep, text, Polarity.UNK)
return candidate
def rule_1(dep_rel, gov_entry, dep_entry, text):
"""Extract term if rule 1 applies.
Args:
dep_rel (DepRelation): Dependency relation.
gov_entry (DicEntrySentiment): Governor opinion entry.
dep_entry (DicEntrySentiment): Dependant opinion entry.
text (str): Sentence text.
"""
candidate = None
(anchor_entry, anchor, related) = (gov_entry, dep_rel.gov, dep_rel.dep) \
if gov_entry else (dep_entry, dep_rel.dep, dep_rel.gov)
if related.norm_pos == POS.ADJ and dep_rel.rel.startswith('conj'):
polarity = anchor_entry.polarity
candidate = CandidateTerm(related, anchor, text, polarity)
return candidate
def rule_6(dep_rel, relation_list, text):
"""Extract term if rule 6 applies.
Args:
dep_rel (DepRelation): Dependency relation.
relation_list (list of DepRelation): Generic relations between all tokens.
text (str): Sentence text.
"""
candidate = None
if dep_rel.rel.startswith("conj") and dep_rel.dep.norm_pos in {
POS.ADJ,
POS.ADV,
POS.NN,
POS.VB,
}:
aspect = expand_aspect(dep_rel.dep, relation_list)
candidate = CandidateTerm(aspect, dep_rel.gov, text, Polarity.UNK)
return candidate