• Journal of the Korea Society of Computer and Information
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• v.25 no.8
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• pp.181-188
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• 2020

In this study, we propose a comparative study to confirm the impact of various word embedding techniques on the performance of sentiment analysis. Sentiment analysis is one of opinion mining techniques to identify and extract subjective information from text using natural language processing and can be used to classify the sentiment of product reviews or comments. Since sentiment can be classified as either positive or negative, it can be considered one of the general classification problems. For sentiment analysis, the text must be converted into a language that can be recognized by a computer. Therefore, text such as a word or document is transformed into a vector in natural language processing called word embedding. Various techniques, such as Bag of Words, TF-IDF, and Word2Vec are used as word embedding techniques. Until now, there have not been many studies on word embedding techniques suitable for emotional analysis. In this study, among various word embedding techniques, Bag of Words, TF-IDF, and Word2Vec are used to compare and analyze the performance of movie review sentiment analysis. The research data set for this study is the IMDB data set, which is widely used in text mining. As a result, it was found that the performance of TF-IDF and Bag of Words was superior to that of Word2Vec and TF-IDF performed better than Bag of Words, but the difference was not very significant.

• Cartoon and Animation Studies
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• s.41
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• pp.153-168
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• 2015

In Kyung-GI DO, An-sung, Each local autonomous entity developed the character design to inform the public relations and revitalize local economy and culture. consequently, These have got benefits with marketing local speciality related to their an-sung character; we call it name is arum, pung-mul, duck-bugi who korea traditional face characters. On the contrary, Most of old characters which have been fallen off their formative qualities became a reason that unfit (4D,3D) special film at local doom movie theater. This thesis aims to study on the character of 'namsadang' group what have been produced in ansung-si, that the show up to people about an-sung 4D Contents what local actually character and to make it more competitive through 3D,4D spacial character project developing process. It is need for new various characters, that (3D,4D-VFX) -Graphics of new an-sung'namsadang' group. that will be total different and new development. total VFX; 4-Dimantion visual graphics released in next an-sung local festival, Business prospects are bright and receiving benefits are increasing. As seen in the case of the character of in 2015, it can be a measure to earn benefits as a higher value-added business if it is managed in the local autonomous entities. In this thesis, I propose what the of character in the local special graphics; VFX style characters design. also I was show up to '4D contents character;' ; 'namsadang' group; creative processing including planing. It is possible to be ranged from special 4D series animation, a feature-length special effct cartoon film, character products, and even local doom Theme parks show up film. which are all expected high profits. These profits will be returned back to the an-sung local autonomous entity, who can use them to develop new contents, one of foundations in local economy. As a result, it is helpful to make local traits and effective tourist attractions.

• The Journal of the Korea Contents Association
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• v.16 no.12
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• pp.78-90
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• 2016

The contents industry is usually divided into the movie industry, music industry, drama industry and the online digital industry. In Korean contents industry, since mid-1990s CJ E&M (Entertainment and Media) has implemented and continued experimental attempts in order to expand the hallyu contents. On basis of a theoretical background, I designed a case study to investigate the mechanism how the CJ E&M's strategy influences on hallyu growth. This study categorized the strategic direction into two key factors: digital business and glocal (global + local) contents production. Those attempts have made positive effect to the expansion of hallyu contents and creation of growth in CJ E&M. CJ E&M have increased experimental movement through digital platform augmentation, digital contents enhancement, and contents creator promotion strategies. In addition, utilization of local contents expert who provide production services for joint production at overseas markets should also be organized to expand the hallyu contents and growth of CJ E&M. This study suggests that the quality of digital business and glocal contents production have a positive relationship with hallyu contents growth and corporate performance.

• Journal of the Korea Society of Computer and Information
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• v.16 no.11
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• pp.17-24
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• 2011

Collaborative filtering system is the clustering about user is built and then based on that clustering results will recommend the preferred item to the user. However, building user clustering is time consuming and also once the users evaluate and give feedback about the film then rebuilding the system is not simple. In this paper, genre pattern of movie recommendation systems is being used and in order to simplify and reduce time of rebuilding user clustering. A Frequent pattern networks is used and then extracts user preference genre patterns and through that extracted patterns user clustering will be built. Through built the clustering for all neighboring users to collaborative filtering is applied and then recommends movies to the user. When receiving user information feedback, traditional collaborative filtering is to rebuild the clustering for all neighbouring users to research and do the clustering. However by using frequent pattern Networks, through user clustering based on genre pattern, collaborative filtering is applied and when rebuilding user clustering inquiry limited by search time can be reduced. After receiving user information feedback through proposed user clustering based on genre pattern, the time that need to spent on re-establishing user clustering can be reduced and also enable the possibility of traditional collaborative filtering systems and recommendation of a similar performance.

• Journal of KIISE:Software and Applications
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• v.29 no.9
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• pp.669-675
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• 2002

In recent years most of personalized recommender systems in electronic commerce utilize collaborative filtering algorithm in order to recommend more appropriate items. User-based collaborative filtering is based on the ratings of other users who have similar preferences to a user in order to predict the rating of an item that the user hasn't seen yet. This nay decrease the accuracy of prediction because the similarity between two users is computed with respect to the two users and only when an item has been rated by the users. In item-based collaborative filtering, the preference of an item is predicted based on the similarity between the item and each of other items that have rated by users. This method, however, uses the ratings of users who are not the neighbors of a user for computing the similarity between a pair of items. Hence item-based collaborative filtering may degrade the accuracy of a recommender system. In this paper, we present a new approach that a user's neighborhood is used when we compute the similarity between the items in traditional item-based collaborative filtering in order to compensate the weak points of the current item-based collaborative filtering and to improve the prediction accuracy. We empirically evaluate the accuracy of our approach to compare with several different collaborative filtering approaches using the EachMovie collaborative filtering data set. The experimental results show that our approach provides better quality in prediction and recommendation list than other collaborative filtering approaches.

• Science of Emotion and Sensibility
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• v.17 no.3
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• pp.107-116
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• 2014

In the current study, it is suggested that when two emotions are presented through cross-modality, such as auditory and visual, incongruence will influence arousal, recognition, and recall of subjects. The first hypothesis is that incongruent cross-modality does not only increase arousal more than the congruent, but it also increases recall and recognition more than congruent. The second hypothesis is that arousal modulates recall and recognition of subjects. To demonstrate the two hypotheses, our experiment's conditions were manipulated to be congruent and incongruent by presenting positive or negative emotions, visually and acoustically. For dependent variables, we measured recall rate and recognition rates. and arousal was measured by PAD (pleasure-arousal-dominance) scales. After eight days, only recognition was measured repeatedly online. As a result, our behavioral experiment showed that there was a significant difference between arousal before watching a movie clip and after (p<.001), but no difference between the congruent condition and incongruent condition. Also, there was no significant difference between recognition performance in the congruent condition and incongruent condition, but there was a main effect of the clips' emotions. Interestingly after analyzing recognition rates separately depending on clips' emotions, there was a significant difference between congruent and incongruent conditions in the only negative clip (p= .044), not in the positive clip. In a detailed result, recognition in the incongruent condition is more than in the congruent condition. Furthermore, in the case of recall performance, there was a significant interaction between the clips' emotions shown in the clips and congruent conditions (p=.039). Through these results, the effect of incongruence with negative emotion was demonstrated, but an incongruent effect by arousal could not be demonstrated. In conclusion, in our study, we tried to determine the impact of one method to convey a story dramatically and have an effect on memory. These effects are influenced by the subjects' perceived emotions (valence and arousal).

• Journal of the Korea Society of Computer and Information
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• v.15 no.1
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• pp.149-157
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• 2010

As the use of the Internet has recently increased, the demand for opinion information posted on the Internet has grown. However, such resources only exist on the website. People who want to search for information on the Internet find it inconvenient to visit each website. This paper focuses on the opinion information extraction and analysis system through Web mining that is based on statistics collected from Web contents. That is, users' opinion information which is scattered across several websites can be automatically analyzed and extracted. The system provides the opinion information search service that enables users to search for real-time positive and negative opinions and check their statistics. Also, users can do real-time search and monitoring about other opinion information by putting keywords in the system. Proposed technologies proved to have outstanding capabilities in comparison to existing ones through tests. The capabilities to extract positive and negative opinion information were assessed. Specifically, test movie review sentence testing data was tested and its results were analyzed.

• The Journal of the Korea Contents Association
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• v.21 no.7
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• pp.93-104
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• 2021

Most of the existing studies on the volume and valence of the eWOM (electronic word of mouth) about movies and box-office revenues were conducted using online actual data (secondary data) at Yahoo Movies, IMDB.com, Naver Movies, etc. However, it is difficult to grasp psychological variables from online actual data. Therefore, existing studies using online actual data could not identify the causal relationship among volume, valence and psychological variables. This study fills this gap in the literature. This study aims to examine the direct and indirect effects (i.e. mediating effect) of the volume and valence of online reviews about movies on purchase intention through review credibility as a mediator. We conducted a survey on the South Korean consumers and a structural equation modeling. The outcomes show that the total effects of both volume and valence are significant. In addition, volume has an indirect effect only (i.e. full mediating effect) on purchase intention through review credibility, but valence has both direct and indirect effects (i.e. partial mediating effect) on purchase intention through review credibility. The theoretical and practical implications for these results are presented.

• (The) Research of the performance art and culture
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• no.18
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• pp.481-512
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• 2009

This thesis is to investigate the effectiveness of Cinema Therapy through the aspect of vicarious learning, that is, Nayeoug's modelling after Yeonsun, and Yeonsun's modelling after The Little Mermaid, by making My Mother, the Mermaid directed by Park Heungsik. After immature Nayeoung returns from the travel into past time, she is reborn as an mature woman, and finally she can manage a happy marriage life. In Nayeoung's initiation, there is Yeonsun's initiation, in that again, there is a initiation of The Little Mermaid by Hans Christian Andersen. This work is a proper text in explaining the effectiveness of Cinema Therapy which aims at self-awareness and self-improvement because it contains some aspects of the vicarious learning through the movie. Nayeon's mother(Yeonsun), Nayeoung's father(Jinguk) have trouble, and sometimes have friendly relations. The major characters' wish and need are examined out through the analysis of the five basic needs based on reality therapy. As a result, it is found out that when their needs are fulfilled, friendly relation is formed, and when their needs are not fulfilled, unfriendly relation is formed. If their own basic desires are examined, their desires can be fulfilled through the inner control by themselves.

• Cross-Cultural Studies
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• v.44
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• pp.29-58
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• 2016

'Post-memory' is the act of remembering traumatic events in history by subsequent generations who have not had direct experiences or relations with them. For this reason, the narratives of 'post-memory' are considered as re-interpretations of the past deeply influenced by current perspectives and concerns. The Chilean film NO goes back to the Referendum of 1988 in order to examine the "NO campaign" which was opposed to another eight years of continuation of the Pinochet regime. Although this campaign contributed significantly to the Chilean democratization, the filmmaker does not just celebrate it: rather he attempts to cast a critical reflection on its strategies that eventually turned democracy into a "commodity" by deploying commercial language and marketing tools for characterizing and describing it. On the other hand, the Korean movie The Attorney sheds light on the story of an attorney who, during the military regime in the 1980's, became a human rights lawyer when he tried to advocate for university students accused of violating national security law. This film reconstitutes the meaning of democracy built upon the logic of "common-sense" that privileges freedom and fundamental human rights over Statism. Despite the different historical contexts between Chile and South Korea, these two movies retell the history of a dictatorship that ended a couple of decades ago. In doing so, they raise questions about history, memory and democracy in order to deepen the understanding of current social and political circumstances while placing an emphasis on the roles and responsibilities of intellectuals during the transition to democracy and democratic consolidation.