• The Journal of the Korea Contents Association
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• v.16 no.10
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• pp.421-434
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• 2016

This research paper aims to inform and suggest methods in which Korea Media content could successfully enter the African broadcasting market. It also seeks to suggest preparatory steps and propose various policies that Korean government could provide, to aid the export process. In order to maximize the Korean media content exposure in the Kenyan market, increased financial support for subtitles and dubbing as well as launching a Korean culture center is suggested. In addition, to encourage more diverse channels to show the Korean content, joint content production between Korea and Kenya should be considered. Moreover, in analyzing the social, cultural, ethnic and local characteristics of the Kenyan people, the paper seeks to identify the most efficient method in which Korean wave could be more widespread in Kenya. Since virtually no prior research papers exist on Kenyan's social and cultural characteristics and their thought process on the Korean media content, this paper seeks to provide valuable insight and policy implications for Korean media policy makers.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2016.05a
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• pp.203-207
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• 2016

Drama CD는 One source multi use의 한 사례로써 다양한 콘텐츠 사업이 잘 연계되어 있는 일본에서는 이미 널리 활용되고 있는 콘텐츠이며 그에 따라 수익창출도 상당한 수준이다. 일본에 이웃한 한국에도 일본의 Drama CD가 영향을 미쳐, Drama CD가 발표되어왔고 일반 드라마 제작 이전의 테스트 베드로써 활용하는 수준까지 이르고 있다. 그러나 한국 콘텐츠 분야에서 Drama CD의 마켓 쉐어는 아직 그 입지가 크지 않으며, 또한 자체적인 잠재력에 비해 오락적 요소로서만 한정되어 활용되어 왔다. 본 논문에서는 Drama CD가 한국 시장에 One source multi use의 한 사례로써 Educational Content를 중심으로 가능성이 있는지에 대해 알아보고, 이와 함께 Drama CD를 활용할 수 있는 Educational Content 사업분야와 시장성에 대해 알아보고자 한다.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.8 no.4
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• pp.912-917
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• 2004

The increase of illegal usage and conflict in digital content market would diminish motivation of creators for their work, furthermore break down digital content market on cyber-space. Watermarking technology support to the legal users by the protection technique based on the digital content copyright protection method(DRM). Most of previous digital watermarking have embeded to the content. In this paper, we propose a wavelet based watermarking method which is used for implementing in the frequency domain.

• The Journal of the Convergence on Culture Technology
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• v.9 no.5
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• pp.859-865
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• 2023

In a situation where service providers are increasingly focusing on content development due to the intense competition in the OTT market, interactive content that encourages active participation from viewers is garnering significant attention. In response to this trend, research on interactive content is being conducted more actively. This study aims to analyze interactive content through text mining techniques, with a specific focus on online unstructured data. The analysis includes deriving the characteristics of keywords according to their weight, examining the relationship between OTT platforms and interactive content, and tracking changes in the trends of interactive content based on objective data. To conduct this analysis, detailed techniques such as 'Word Cloud', 'Relationship Analysis', and 'Keyword Trend' are used, and the study also aims to derive meaningful implications from these analyses.

• Journal of Internet Computing and Services
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• v.20 no.6
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• pp.143-156
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• 2019

Discussion on OTT regulation has become fiercer, as OTT services' impacts on the global and domestic media market have been exponentially growing. In South Korea, it is argued that, on the basis of the similarity between television program and OTT's video content, OTT needs to be regulated in order to protect fair competition and to control sociocultural effects. In many of the discussions, developed countries' cases have been used for supporting OTT regulation. In this paper, we first analyzed the global OTT market trends based on our own categorization of OTT services. then we assessed the validity of the application of the foreign cases in the current OTT regulation debates in Korea. We proposed six OTT types (aggregation, mediation, mediation-aggregation, multi-screen, outlet, and outlet-linear) simultaneously considering service operator' origin, business model, content format, and content delivery. These services have been consistently evolving, and the OTT market has been increasingly competitive especially around content differentiation. Regulators must be wary of hastily introducing competition regulation to the dynamically innovating OTT market. The foreign cases, including the US, EU, the UK, and Japan, hardly seem to be appropriate bases for strengthening OTT regulation. Rather, they were focused more on promoting competition in the domestic media market and enriching the content ecosystem. Therefore, we need to consider revision of the outdated media regulation frameworks instead of fitting OTT under them, and to recognize the priority of securing practical jurisdiction on global service providers before capturing local players into the conventional regulation systems.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.9 no.8
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• pp.3169-3181
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• 2015

Nowadays, online word-of-mouth has become a powerful influencer to marketing and sales in business. Opinion mining and sentiment analysis is frequently adopted at market research and business analytics field for analyzing word-of-mouth content. However, there still remain several challengeable areas for 1) sentiment analysis aiming for Korean word-of-mouth content in film market, 2) availability of machine learning models only using linguistic features, 3) effect of the size of the feature set. This study took a sample of 10,000 movie reviews which had posted extremely negative/positive rating in a movie portal site, and conducted sentiment analysis with four machine learning algorithms: naïve Bayesian, decision tree, neural network, and support vector machines. We found neural network and support vector machine produced better accuracy than naïve Bayesian and decision tree on every size of the feature set. Besides, the performance of them was boosting with increasing of the feature set size.

• Journal of Distribution Science
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• v.11 no.2
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• pp.11-21
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• 2013

Purpose - The purpose of the study is to promote the adoption of traditional liquor product contents in order to revitalize the market and to increase consumer awareness of traditional liquor. Research design, data, methodology - In this study, the 4P relationship model was evaluated that included the self-supporting business of traditional liquor, continuous business, diversification of the types of the liquor, and discovery of preliminary social enterprises for the distribution of the liquor. Results - The study suggested a 4P relationship model that consisted of traditional liquor as the product, traditional market as the place, promotion within traditional market, and payment of labor costs. In other words, selection of the traditional liquor product, place, rental supports, distribution and delivery strategies, operations, public relations and training, foundation of social enterprises, and discussion between departments. Conclusions - The central government, local governments, and merchants (the market association) should actively cooperate with each other to revitalize the market for traditional liquor. Social enterprises that rely on a non-profit business model are likely to revitalize the traditional liquor market.

• Journal of Fashion Business
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• v.14 no.5
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• pp.49-65
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• 2010

The purpose of this paper is to derive the categories of negative e-WOM (electronic word of mouth) via consumer review. Disclosing the details of negative e-WOM based consumer reviews has never been done before. For this reason, a content analysis was adopted to provide knowledge and understanding of the phenomenon. This paper analyzes the content of 630 consumer reviews posted on the open market internet site, www.auction.co.kr. The analysis was conducted from October 20th, 2008 to March 10th, 2009. The results indicated that the negative e-WOM based consumer reviews can be divided into two categories: the cognitive evaluation and the expression of consumer's emotion. The category of cognitive evaluation is consisted of negative e-WOM of product, negative e-WOM of service, and warning about the risk of purchasing products. The category of expressing consumers' emotion are composed of venting customers' dissatisfaction and passive response of dissatisfaction. Investigating the details of negative e-WOM has a number of implications. Most importantly, the results revealed multidimensional structure of negative e-WOM. This understanding of negative e-WOM communication allows marketers to improve products and services that better meet customers' current and future needs.

• Asia pacific journal of information systems
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• v.30 no.4
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• pp.719-740
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• 2020

The stock market changes continuously as new information emerges, affecting the judgments of investors. Online news articles are valued as a traditional window to inform investors about various information that affects the stock market. This paper proposed new ways to utilize online news articles with technical indicators. The suggested hybrid model consists of three models. First, a self-attention-based convolutional neural network (CNN) model, considered to be better in interpreting the semantics of long texts, uses news content as inputs. Second, a self-attention-based, bi-long short-term memory (bi-LSTM) neural network model for short texts utilizes news titles as inputs. Third, a bi-LSTM model, considered to be better in analyzing context information and time-series models, uses 19 technical indicators as inputs. We used news articles from the previous day and technical indicators from the past seven days to predict the share price of the next day. An experiment was performed with Korean stock market data and news articles from 33 top companies over three years. Through this experiment, our proposed model showed better performance than previous approaches, which have mainly focused on news titles. This paper demonstrated that news titles and content should be treated in different ways for superior stock price prediction.

• The Journal of Information Systems
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• v.30 no.2
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• pp.189-214
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• 2021

Purpose This paper aims to effectively utilize user-generated content (UGC) and analyze the market structure of a relatively new market which lacks rich user review information. Specifically, we propose a domain-specific text mining tool for the domestic craft beer market and visualize the market structure by incorporating how individual beer products are positioned in the perceptual map of consumers. Design/methodology/approach We collect user review information from Naver blogs, and extract words that describe beers. We identify semantic relationships between beer products through text mining, and then depending on these semantic relationships, construct a graph representing the market structure of the domestic craft beer market based on the consumer's perceptual map. Findings First, beer products produced in the same brewery are perceived as very similar to consumers. Second, only two products, 'Heukdang Milky Stout' and 'Gompyo', was noticeably distinguishable from other products. Third, even though 'Gyeongbokgung' is from a different brewery, it is located very close to the products of 'Jeju Beer' brewery such as 'Jeju Baeknokdam Ale' and 'Seongsan Ilchulbong Ale', which suggests the influence of 'landmark series.' We successfully show that our methodology effectively describes the market structure of the craft beer market.