• The Journal of the Korea Contents Association
• /
• v.10 no.7
• /
• pp.420-428
• /
• 2010

The advancement of the Science for complex systems enables the analysis of many social networks. We constructed and analyzed a Korean movie star network as one of social networks, based on the 100 Korean movie selection for a main data source. Until now, the research trend has been the structural analysis of network, focused on link numbers, such as degree, betweenness and clustering coefficient. But it is time that the research is not limited by the structural analysis of networks only. Rather, the research goal should be aimed to an information analysis, performed by identifying and analyzing central modules that are regarded as the core of complex networks, using k-core analysis method. In this research, we constructed a network of movie stars who have appeared in 100 Korean movie selection, provided by Korean movie database, also we analyzed its core modules with and without weights, and the trend of seasonal expansion of the network. We expect our findings can be used as the basic data applicable to a model for understanding of the expansion and evolution of networks.

• Journal of the Korea Society of Computer and Information
• /
• v.26 no.10
• /
• pp.9-17
• /
• 2021

Humans are social animals that have gained information or social interaction through dialogue. In conversation, the mood of the word can change depending on the sensibility of one person to another. Relationships between characters in films are essential for understanding stories and lines between characters, but methods to extract this information from films have not been investigated. Therefore, we need a model that automatically analyzes the relationship aspects in the movie. In this paper, we propose a method to analyze the relationship between characters in the movie by utilizing deep learning techniques to measure the emotion of each character pair. The proposed method first extracts main characters from the movie script and finds the dialogue between the main characters. Then, to analyze the relationship between the main characters, it performs a sentiment analysis, weights them according to the positions of the metabolites in the entire time intervals and gathers their scores. Experimental results with real data sets demonstrate that the proposed scheme is able to effectively measure the emotional relationship between the main characters.

• The Research Journal of the Costume Culture
• /
• v.12 no.4
• /
• pp.676-690
• /
• 2004

The purpose of this study is to investigate the symbolic meaning in body image and fashion style portrayed in Korea and American movies in aspects of sex, race, nature, and technology. The researcher analyzed movies in Korea and USA, and the results were as follows. In aspects of sex, movies portrayed new masculinity and femininity escaped from previous gender stereotypes, and the clothing styles characterized sex identity and sex roles. In aspects of race, more various races appeared in America movies than Korea＇s, and the appearance and stereotypes related with race were blurred by the globalization and the change of film market environments. In aspects of nature, Korea movie portrayed the human being as lyrical appearance in nature, and America movie expressed the human as a strong men conquering the nature in adventure movie or super human image combined with nature thing which endowed nature＇s superior characteristics to human body in fantasy and science fiction movies. In aspects of technology, the human bodies were described as cyborg, alien, or super human, which symbolized the do-identification in digital world, de-boundarization between human and machines, and the human＇s uncertainty.

• Journal of the Korea Society of Computer and Information
• /
• v.23 no.4
• /
• pp.89-95
• /
• 2018

It is not easy for the user to find the information that is appropriate for the user among the suddenly increasing information in recent years. One of the ways to help individuals make decisions in such a lot of information is the recommendation system. Although there are many recommendation methods for such recommendation systems, a representative method is collaborative filtering. In this paper, we design and implement the movie recommendation system on user-based collaborative filtering of apache mahout based on mongoDB. In addition, Pearson correlation coefficient is used as a method of measuring the similarity between users. We evaluate Precision and Recall using the MovieLens 100k dataset for performance evaluation.

• The Journal of the Korea Contents Association
• /
• v.6 no.8
• /
• pp.68-77
• /
• 2006

The educational effect of movie is very high. This paper suggests a practical scheme applying multimedia materials to some subject classes. At present film education consists of 3 methods, integrated method, regular method, and professional method in the 7th curriculum. The simplest method is integrated method. Most previous researches tried to apply to middle or high schools, or only one subject class. So we apply integrated method into 5th grade elementary students. At first teaching schedule is constructed on Korean, Social, Science, Ethics, and Art classes, and then movie materials are applied. Finally we let students write study book. Study book says that students take great interest and can promote the thought ability.

• Journal of the Korean Society of Clothing and Textiles
• /
• v.31 no.8
• /
• pp.1222-1230
• /
• 2007

This study measured the PPL communication effect whether the respondents had purchased the PPL products in the movie or not. The experiment of this study was held to females in their twenties(mostly university or graduate school students), and they answered the questionaries after being exposed to the 15-minute-edited movie. The results were as follows. In cognitive dimension, there were no differences of the recognition and the recall between two groups. In emotional and behavioral dimensions, the group with the purchase experiences of the PPL brands in the movie showed the more positive brand attitude and the higher purchase intention. The implications based on this results are as follows. First, to strengthen the brand image, the brand identity has to be established systematically. Second, the fashion marketers should constantly implement CRM(Customers Relationship Management) to the customers who purchased the brand products to make them loyal customers.

• Journal of Broadcast Engineering
• /
• v.20 no.6
• /
• pp.950-962
• /
• 2015

This paper analyzes the effect of the number of viewers and the number of running screens in the theater, genres of the movies and holdback period on the number of purchases movie VOD contents. In this paper, we deals with the 169 movies VOD consumption data which the digital cable TV subscribers purchased during the third quarter of 2013. As a result of the research, the average number of VOD purchases per each movie is 2,540. Regression analysis proves that the number of running screens and the holdback period are statistically playing a role of significance in movie VOD purchases. But the number of viewers in the theaters is not of significance. By genres, the result is shown as in this order: SF/fantasy 8,401 > dramas 4,011 > comedies 2,011 > action 1,789 > animation 1,138 > love story/melo 1,119 > horror/thriller 770 > erotic movies 636.

• Applied Microscopy
• /
• v.40 no.1
• /
• pp.47-51
• /
• 2010

The capability of real-time observation in TEM is quite useful to study dynamic phenomena of materials in a certain variable ambience. In performing the experiment, the choice of video recording program is an important factor to obtain high quality of movie streaming. Window Movie Maker (WMM) is generally recommended as a default video recording program if one uses "DV Capture" function in DigitalMicrograph$^{TM}$ (DM) software. However, the image quality does not often satisfy the condition for high-resolution microscopic analysis since the severe information loss in the final result occurs during the conversion process. As a good candidate to overcome this problem, Virtual-Dub is highly recommended since the information loss can be minimized through the streaming process. In this report, we demonstrated how useful VirtualDub works in a high-resolution movie recording. Quantitative comparison of the information quality between the images recorded by each software, WMM and VirtualDub, was carried out based on histogram analysis. As a result, the image recorded by VirtualDub was improved ~13% in brightness and ~122% in contrast compared with the image obtained by WMM at the same imaging condition. Remarkably, the gray gradation (meaning an amount of information) becomes wider up to ~115% than that of the WMM result.

• Journal of Intelligence and Information Systems
• /
• v.22 no.3
• /
• pp.71-89
• /
• 2016

Sentiment analysis is used for identifying emotions or sentiments embedded in the user generated data such as customer reviews from blogs, social network services, and so on. Various research fields such as computer science and business management can take advantage of this feature to analyze customer-generated opinions. In previous studies, the star rating of a review is regarded as the same as sentiment embedded in the text. However, it does not always correspond to the sentiment polarity. Due to this supposition, previous studies have some limitations in their accuracy. To solve this issue, the present study uses a supervised sentiment classification model to measure a more accurate sentiment polarity. This study aims to propose an advanced sentiment classifier and to discover the correlation between movie reviews and box-office success. The advanced sentiment classifier is based on two supervised machine learning techniques, the Support Vector Machines (SVM) and Feedforward Neural Network (FNN). The sentiment scores of the movie reviews are measured by the sentiment classifier and are analyzed by statistical correlations between movie reviews and box-office success. Movie reviews are collected along with a star-rate. The dataset used in this study consists of 1,258,538 reviews from 175 films gathered from Naver Movie website (movie.naver.com). The results show that the proposed sentiment classifier outperforms Naive Bayes (NB) classifier as its accuracy is about 6% higher than NB. Furthermore, the results indicate that there are positive correlations between the star-rate and the number of audiences, which can be regarded as the box-office success of a movie. The study also shows that there is the mild, positive correlation between the sentiment scores estimated by the classifier and the number of audiences. To verify the applicability of the sentiment scores, an independent sample t-test was conducted. For this, the movies were divided into two groups using the average of sentiment scores. The two groups are significantly different in terms of the star-rated scores.

• Journal of Oriental Neuropsychiatry
• /
• v.32 no.4
• /
• pp.329-335
• /
• 2021

Objectives: The purpose of this study was to determine how analyzing movies, including mental symptoms, according to a certain method, might affect the understanding of psychiatric disorders. Methods: Forty-four oriental medicine students who had completed Korean medicine neuropsychiatric science were required to submit reports on episode analysis, psychiatric personal history investigation, diagnostic criteria, and the connection between Korean medicine and psychiatric diseases after watching a movie, including psychiatric symptoms. After submitting the report, a questionnaire related to understanding before and after watching the movie was asked to be filled out. Demographic survey, frequency analysis, and response sample t-test were performed based on 42 questionnaires. Results: Results of analyzing the questionnaire were as follows. 1. The average number of movies watched was three. 2. Psychiatric disorders and psychiatric symptoms, diagnostic criteria, psychiatric personal investigation, and understanding of the connection between Korean medicine and psychiatric diseases all increased statistically significantly. 3. A separate process might be needed to improve the understanding of psychiatric personal strength investigation and oriental medicine connection. Conclusions: Movie analysis, including individual mental symptoms, could improve students' understanding of psychiatric disorders in psychiatric symptoms, diagnostic criteria, and psychiatric personal investigation, but some students might need feedback.