Analysis & visualization on movie´s popularity and reviews

Information visualization with the movie´s trend of audiences and reviews becomes important. Movie makers are not only want to know their movie´s popularity based on the number of audiences but also check their movie´s evaluation from people who see the movies. If they hope that the movie is a box office hit, they should identify the correlations between audiences and reviews. Our visualization tools try to find the movie´s moods by using normalized graphs and showing the relationships. Experiments on real dataset from a movie site (naver-movie.com) and Korean Film Council containing the number of customers in each movie. We find some unique relations and discover the word-of-mouth effects from our results.