• Journal of Fashion Business
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• v.3 no.2
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• pp.59-66
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• 1999

The purpose of this thesis is to review the costume and symbolism of the English novelist Jane Austen's novel "Emma" which was produced as a movie in 1996. The novel "Emma" 's periodical background is from 1814 to 1815 in neo-classical age of costume. The English woman's costumes in 1810 were high-waisted empire style dress and redingote, pelisse, spencer jacket for going out. Man's costumes were frock coat, tail coat, shirts, vest and bottoms were breeches, pantaloons and trousers. In this literature, Harriet's naive and immature image was shown in the name of 'pretty'. Elegant and graceful way of talking and attitude was expressed in the 'beauty' of Emma. The costume is symbolically expressing the character's personality ; white is for Emma's intelligent and elegant image, pastor Elton's black suit symbolized his profession and ambitions for success. The analysis of the costumes from the movie "Emma" is following ; women wore empire dress and outer garment, redingote and spencer jacket. The fabrics were muslin, gauze, satin, lace and velvet. Men's costume were frock coat, tail coat with the shirts, vest, and pantaloons. The fabric was brown, black and dark color of wool. With an analysis of the movie "Emma", I would like to present '99 S/S collection, targeted for 21-25 aged woman by use of Emma's elegant and Harriet's pretty image as a main subject. As a second subject, I have chosen neo romantic memory, sophisticate feminine and pretty Harriet.

• Cartoon and Animation Studies
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• s.32
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• pp.221-244
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• 2013

The purpose of this study was to concentrate on macroscopic discussion about how the recurrence of actual case in move is accepted ideologically. When considering the characteristic that non-visual factors are embodied when movie image reflects a certain target, the issue of recurrence has always caused discussion. Regardless of its independence or dependence, one individual's experience can be similar to sensual recognition but it can't be identical. Therefore, 'the truth recurred by movie' can't be real 'truth'. When director expresses the target, the aesthetic intention gives an effect to audience's emotion and recognition, Therefore, the study tries to review whether the movie truth drawn by movie can reach the possibility of epistemology agreement.

• 한국체육학회지인문사회과학편
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• v.56 no.1
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• pp.99-110
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• 2017

The purpose of this study was to focus on the social influence of the movie , to review the meaning and symbolism of Koreans living in Japan (ざいにち) and rugby in the movie, and to eventually reveal the messages from the movie. The research method was text analysis. As a result, Koreans living in Japan were represented in 2 ways. Koreans living in Japan were represented as Homo Sacer, the contradictory being, located inside society by Japan's sovereignty but considered as outsiders. Meanwhile, the identity of Koreans living in Japan were represented clearly as Korean and they were acknowledged in Japan as proud and capable. The rugby in the movie has 2 symbolic meanings. First, it was the most important and effective way to prove Korean existence in Japan by representing the struggle for recognition, additionally it also carried an important message about their ideal society.

• KNOM Review
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• v.24 no.1
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• pp.20-28
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• 2021

Extensive use of social media applications and mobile devices continues to increase data traffic. Social media applications generate an endless and massive amount of multimedia traffic, specifically video traffic. Many social media platforms such as YouTube, Daily Motion, and Netflix generate endless video traffic. On these platforms, only a few popular videos are requested many times as compared to other videos. These popular videos should be cached in the user vicinity to meet continuous user demands. MEC has emerged as an essential paradigm for handling consistent user demand and caching videos in user proximity. The problem is to understand how user demand pattern varies with time. This paper analyzes three publicly available datasets, MovieLens 20M, MovieLens 100K, and The Movies Dataset, to find the user request pattern over time. We find hourly, daily, monthly, and yearly trends of all the datasets. Our resulted pattern could be used in other research while generating and analyzing the user request pattern in MEC-based video caching scenarios.

• The Journal of the Korea Contents Association
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• v.13 no.12
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• pp.108-116
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• 2013

Park Jung-hoon started his acting career in movie since undergraduate year at Chungang University, Drama and Cinema school, and till now he is a very active and nationally beloved actor in Korea. However, to this day there isn't any study about him, so this study might be the right time to take a look at his acting style again. This report will find and review his distinctive patterns in acting, and roughly assess the character expression from character, Dong-chul, in the movie, My Dear Desperado; which has been evaluated as the best movie to show the inner side of character. His acting pattern is segmented by 3 parts; Park Jung-hoon style comical acting, expression of macho side of masculinity, and subtle inner emotion expression acting. Then his acting technique is analyzed from character Dong-chul in the movie, My Dear Desperado, which he acted out change in character from low-class nonsense gangster to a good-hearted man flawlessly. In addition this report will try to find his acting technique that made impossible distance between the characters possible. This study hopes to start and continue other studies that discuss many movie actors' and actresses' different character expression method and their training technique, also wish many actors and actresses could find helpful in their acting training.

• KIPS Transactions on Software and Data Engineering
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• v.4 no.3
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• pp.121-128
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• 2015

A given product's online product reviews build up to form largely positive or negative reviews or mixed reviews that include both the positive and negative reviews. While the homogeneously positive or negative reviews help readers identify the generally praised or criticized product, the mixed reviews with minority opinions potentially contain valuable information about the product. We present a method of retrieving minority opinions from the online product reviews using the skewness of positive/negative reviews. The proposed method first classifies the positive/negative product reviews using a sentiment dictionary and then calculates the skewness of the classified results to identify minority reviews. Minority review retrieval experiments were conducted on smartphone and movie reviews, and the F1-measures were 24.6% (smartphone) and 15.9% (movie) and the accuracies were 56.8% and 46.8% when the individual reviews' sentiment classification accuracies were 85.3% and 78.8%. The theoretical performance of minority review retrieval is also discussed.

• Atmosphere
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• v.14 no.2
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• pp.7-10
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• 2004

A short review on TOTO (TOtable Tornado Observatory), one of the earliest in-situ observing systems for tornado, is provided. TOTO was outfitted with sensors for measuring wind, pressure and humidity, and storm researchers, in mid-1980's, tried to put it inside tornadoes for detailed studies on tornado, but failed. However, the accumulated knowledge and experience with TOTO lead to a successful field program in mid-1990's. A story about DOROTHY, a parody of TO TO in the movie "Twister!", is also provided.

• Asia pacific journal of information systems
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• v.23 no.3
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• pp.131-154
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• 2013

New internet technologies have created a revolutionary new platform which allows consumers to make decision about product price and quality quickly and provides information about themselves through the transcript of online reviews. By expressing their feelings toward products or services on virtual opinion platforms, users extend their influence into cyberspace as electronic word-of-mouth (e-WOM). Existing research indicates that an impact of eWOM on the consumer decision process is influential. For both academic researchers and practitioners, investigating this phenomenon of information sharing in online website is essential given the increasing number of consumers using them as sources of purchase decisions. It is worthwhile to examine the extent to which opinion seekers are willing to accept and adopt online reviews and which factors encourage adoption. Discerning the most motivating aspects of information adoption in particular, could help electronic marketers better promote their brand and presence on the internet. The objectives of this study are to investigate how online WOM influences a persons' purchase decision by discovering which factors encourage information adoption. Especially focused on the self-efficacy, this research investigates how self-efficacy affects on information usefulness and adoption of online information. Although people are exposed to same review or comment about product or service, some accept the reviews while others do not. We notice that accepting online reviews mainly depends on the person's preference or personal characteristics. This study empirically examines this issue by using cognitive dissonance theory. Specifically, in the movie industry, we address few questions-is always positive WOM generating positive effect? What if the movie isn't the person's favorite genre? What if the person who is very self-assertive so doesn't take other's opinion easily? In these cases of cognitive dissonance, is always WOM generating same result? While many studies have focused on one direct of WOM which indicates positive (or negative) informative reviews or comments generate positive (or negative) results and more (or less) profits, this study investigates not only directional properties of WOM but also how people change their opinion towards product or service positive to negative, negative to positive through the online WOM. An experiment was conducted quantitatively by using a sample of 168 users who have experience within the online movie review site, 'Naver Movie'. Users were required to complete a survey regarding reviews and comments taken from the real movie page. The data reflected user's perceptions of online WOM information that determined users' adoption level. Analysis results provide empirical support for the proposed theoretical perspective. When user can't agree with the opinion of online WOM information, in other words, when cognitive dissonance between online WOM information and users' preference occurs, perceived self-efficacy significantly decreases customers' perception of usefulness. And this perception of usefulness plays an important role in determining users' intention to adopt online WOM information. Most of researches have been concentrated on characteristics of online WOM itself such as quality or vividness of information, credibility of source and direction of online WOM, etc. for describing effect of online WOM, but our results suggest that users' personal character (e.g., self-efficacy) plays decisive role for acceptance of online WOM information. Higher self-efficacy means lower possibility to accept the information that represents counter opinion because of cognitive dissonance, whereas the people that have lower self-efficacy are willing to accept the online WOM information as true and refer to purchase decision. This study suggests a model for understanding role of direction of online WOM information. Also, our result implicates the importance of online review supervision and personalized information service by confirming switching opinion negative to positive is more difficult than positive to negative through the online WOM information. This implication would help marketers to manage online reviews of their products or services.

• Journal of Intelligence and Information Systems
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• v.22 no.2
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• pp.97-113
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• 2016

Due to the growth of internet data and the rapid development of internet technology, "big data" analysis is actively conducted to analyze enormous data for various purposes. Especially in recent years, a number of studies have been performed on the applications of text mining techniques in order to overcome the limitations of existing structured data analysis. Various studies on sentiment analysis, the part of text mining techniques, are actively studied to score opinions based on the distribution of polarity of words in documents. Usually, the sentiment analysis uses sentiment dictionary contains positivity and negativity of vocabularies. As a part of such studies, this study tries to construct sentiment dictionary which is customized to specific data domain. Using a common sentiment dictionary for sentiment analysis without considering data domain characteristic cannot reflect contextual expression only used in the specific data domain. So, we can expect using a modified sentiment dictionary customized to data domain can lead the improvement of sentiment analysis efficiency. Therefore, this study aims to suggest a way to construct customized dictionary to reflect characteristics of data domain. Especially, in this study, movie review data are divided by genre and construct genre-customized dictionaries. The performance of customized dictionary in sentiment analysis is compared with a common sentiment dictionary. In this study, IMDb data are chosen as the subject of analysis, and movie reviews are categorized by genre. Six genres in IMDb, 'action', 'animation', 'comedy', 'drama', 'horror', and 'sci-fi' are selected. Five highest ranking movies and five lowest ranking movies per genre are selected as training data set and two years' movie data from 2012 September 2012 to June 2014 are collected as test data set. Using SO-PMI (Semantic Orientation from Point-wise Mutual Information) technique, we build customized sentiment dictionary per genre and compare prediction accuracy on review rating. As a result of the analysis, the prediction using customized dictionaries improves prediction accuracy. The performance improvement is 2.82% in overall and is statistical significant. Especially, the customized dictionary on 'sci-fi' leads the highest accuracy improvement among six genres. Even though this study shows the usefulness of customized dictionaries in sentiment analysis, further studies are required to generalize the results. In this study, we only consider adjectives as additional terms in customized sentiment dictionary. Other part of text such as verb and adverb can be considered to improve sentiment analysis performance. Also, we need to apply customized sentiment dictionary to other domain such as product reviews.

• Korean Management Science Review
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• v.27 no.2
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• pp.81-95
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• 2010

There is an increasing interest in contents such as movie, drama and game using transmedia storytelling. It includes Le Grand Chef, The War of Flower, Dae Jang Geum, The Matrix, Harry Potter and The Lord of the Rings. However, transmedia contents have not always been successful. To study the factors affecting possible outcomes of transmedia storytelling, we analyzed the intention on transmedia of potential consumers who have not been exposed to transmedia contents before. To this end, we investigated two different cases : first, potential customer intention to watch dramas which will be produced after launching comic-based movies; second, potential customer intention to see movies which will be made after broadcasting comic-based TV dramas. In each case, we analyzed the outcomes from potential customers by applying several variables including gender, exposure to the original and components of contents (plot, quality of act and music etc). Our study showed that potential customers prefer movies or TV dramas with quality of acting, directing, casting and storylines. Interestingly, the quality of acting is more important in dramas than in movies and casting is an appealing factor to potential customers in movies. In TV drama cases, potential customers have high watching intentions when they read the original content. Among them, male potential customer have low watching intentions on TV drama when they did not read the original content. However, female potential customers have high watching intentions on TV drama regardless of the previous exposure to the originals. In movie cases, female potential customers have higher intentions on seeing movies than male. These results suggest that one needs to consider several factors such as casting, acting and gender for generating transmedia contents with a high probability of success.