A Structural Analysis of the Movie Reviews

Abstract

Th i ss t u d y e x a mi n e dt h ec h a r a c t e r i s t i c so fmo v i er e v i e wsb a s e do ne mo t i o n a le x p r e s s i o n s , u s i n gt h es t r u c t u r a la n a l y s i s .Ma j o rr e s u l t swe r ea sf o l l o ws ;f i r s t l y ,t h emo s tc i t e de mo t i o n a l e x p r e s s i o n wa s' f u n ' .F u n wa st h ei mp o r t a n td i s c r i mi n a t o rf o re v a l u a t i n g mo v i e s .S e c o n d l y , c l u s t e ra n a l y s i sr e s u l t sf o u n dt h a ta l t h o u g hKo r e a nmo v i e swe r ec l u s t e r e db yma n ye mo t i o n a l e x p r e s s i o n ss u c ha sf u n ,i mme r s i o na n di mp r e s s i o n ,f o r e i g nmo v i e swe r eg r o u p e db yj o u s ta n e mo t i o n a l e x p r e s s i o ni n c l u d i n gf u n . I n t e r n e tu s e r st e n d e dt od i v i d ef o r e i g nmo v i ei n t ot wok i n d s o fmo v i e ss u c ha sf u nmo v i ea n db o r i n gmo v i e s .

Sentiment Digitization Modeling for Recommendation System

“…Among previous studies and recommendation systems that use sentiment analysis, one study proposed a movie recommendation system by extracting emotion-related words from user reviews and comments to recommend personalized movies to individuals. In another study, the possibility of recommending appropriate movies to users was demonstrated through analysis of the sentiments of emotion-related words extracted from the sentiment lexicon, SentiWordNet [17]. Another study defined a review ontology, which is an emotion word dictionary for movies, to evaluate the sentiments of ratings and reviews [18].…”

Personal customized recommendation system reflecting purchase criteria and product reviews sentiment analysis

“…3, June 2021 : 2399 -2406 2400 information accurately reflects the user"s preferences are raised, users are paying attention to the recommendation system that uses user-written product review data. In fact, research has shown that user"s text review plays an important role in building recommendation system [9][10][11][12][13][14]. Under these influences, research on analyzing product review data and reflecting it in the recommendation system is being actively conducted [15][16][17][18][19][20].…”

“…Under these influences, research on analyzing product review data and reflecting it in the recommendation system is being actively conducted [15][16][17][18][19][20]. Recently, research on emotional reviews of products and combining them with recommendation systems have been actively conducted [21][22][23][24][25].…”