def generate_final_opinion_candidates_list(opinion_candidate_list_raw,
final_opinion_candidates_list,
frequency_threshold):
"""Generate final opinion candidates list from raw opinion candidate list.
Args:
opinion_candidate_list_raw (dict): key = term, value =
lists of extracted terms.
final_opinion_candidates_list (list): list of final opinion candidates
frequency_threshold (int): minimum freq. for qualifying term
"""
for extracted_term_list in opinion_candidate_list_raw.values():
positive_pol = 0
negative_pol = 0
if len(extracted_term_list) >= frequency_threshold:
for ex_term in extracted_term_list:
curr_polarity = ex_term.term_polarity
if curr_polarity is not None:
if curr_polarity == Polarity.POS:
positive_pol = positive_pol + 1
if curr_polarity == Polarity.NEG:
negative_pol = negative_pol + 1
# set polarity according majority vote
term_polarity = Polarity.UNK
if positive_pol > negative_pol and positive_pol > 0:
term_polarity = Polarity.POS
elif negative_pol >= positive_pol and negative_pol > 0:
term_polarity = Polarity.NEG
term = extracted_term_list[0]
qualified_term = QualifiedTerm(term.term, term.pos, len(extracted_term_list),
term_polarity)
final_opinion_candidates_list.append(qualified_term)
return final_opinion_candidates_list
def generate_final_aspect_candidates_list(aspect_candidate_list_raw,
final_aspect_candidates_list,
frequency_threshold):
"""Generate final aspect candidates list from map.
Args:
aspect_candidate_list_raw (dict): key = term, value =
lists of candidate terms.
final_aspect_candidates_list (list): list of final aspect candidates
frequency_threshold (int): minimum freq. for qualifying term
"""
term_polarity = Polarity.UNK
for extracted_term_list in aspect_candidate_list_raw.values():
if len(extracted_term_list) >= frequency_threshold:
term = extracted_term_list[0]
qualified_term = QualifiedTerm(term.term, term.pos, len(extracted_term_list),
term_polarity)
final_aspect_candidates_list.append(qualified_term)
return final_aspect_candidates_list