Movie Retrieval System by Analyzing Sentimental Keyword from User's Movie Reviews

Abstract

This paper proposed a movie retrieval system based on sentimental keywords extracted from user's movie reviews. At first, sentimental keyword dictionary is manually constructed by applying morphological analysis to user's movie reviews, and then keyword weights in the dictionary are calculated for each movie with TF-IDF. By using these results, the proposed system classify sentimental categories of movies and rank classified movies. Without reading any movie reviews, users can retrieve movies through queries composed by sentimental keywords.

The Blog Polarity Classification Technique using Opinion Mining

“…In a result of evaluation, using suggested sentiment analysis is the better performances to classify polarity than previous techniques of using the sentence rule based product reviews. [1], [3], [5], [16]는 문장의 패턴과 언어학적 규칙을 이용하여 분류하는 연구를 시도하였고 국외에는 [2], [9], [10]. [11], [12], [13], [14]…”