Fuzzy Aspect Based Opinion Classification System for Mining Tourist Reviews

Algorithm 1

Aspects extraction.

Input:  Collection of sentences

Output:  Aspects assigned to sentences

() initialize aspects

() for all sentences do

()   stanford_tagger = SPOS() / Applying Stanford Part-Of-Speech Tagger on each sentence /

()   if NN in stanford_tagger then

()    aspects NN

()   end if

() end for

() initialize aspects_groups

() for all aspects do

() WordNet_sets = WNSS() / Applying WordNet synonym set on each aspect /

()   if TRUE in WordNet_sets then

()    aspects_groups

()   end if

() end for

() frequent_aspects = frequency_measure(aspects, group_aspets, 10) / Filtering the frequent aspects /

() fuzzy_rules = FURIA(sentences, frequent_aspects) / Building Fuzzy rules /

() initialize aspect_assigned_sentences

() for all sentences do

()    aspect_identification = FURIA() / Applying Fuzzy rules on each sentence /

()   if TRUE in aspect_identification then

()    aspect_assigned_sentences aspect_identification

()   end if

() end for

() return aspect_assigned_sentences