• Journal of the Korean Society for Library and Information Science
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• v.58 no.2
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• pp.363-384
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• 2024

This study was conducted to examine the user's experiences with the public library in Daejeon using big data analysis, focusing on the text mining technique. To know this, first, the overall evaluation and perception of users about the public library in Daejeon were explored by collecting data on social media. Second, through analysis using online news articles, the pending issues that are being discussed socially were identified. As a result of the analysis, the proportion of users with children was first high. Next, it was found that topics through LDA analysis appeared in four categories: 'cultural event/program', 'data use', 'physical environment and facilities', and 'library service'. Finally, it was confirmed that keywords for the additional construction of libraries and complex cultural spaces and the establishment of a library cooperation system appeared at the core in the news article data. Based on this, it was proposed to build a library in consideration of regional balance and to create a social parenting community network through business agreements with childcare and childcare institutions. This will contribute to identifying the policy and social trends of public libraries in Daejeon and implementing data-based public library operations that reflect local community demands.

• Journal of Internet Computing and Services
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• v.19 no.2
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• pp.77-88
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• 2018

In order to prevent cervical cancer, free vaccination against cervical cancer(HPV vaccine) for 12-year-old girls has been ongoing since June 2016. The purpose of this study is to investigate how the media reported the risk information of HPV vaccine side effects and to suggest implications for government's risk communication and policy PR. The time frame was divided into two stages, stage 1(policy formation stage, 6 months before the start of free HPV vaccination) and stage 2(policy execution stage, 6 months after the free HPV vaccination was implemented). A total of 314 news articles on HPV vaccine safety and HPV Vaccine side effects were analyzed by content analysis and network analysis. The number of articles increased at stage 2 and the Centers for Disease Control and Prevention emphasized the safety of HPV vaccine and encouraged the inoculation while highlighting the effectiveness of the vaccine. Regarding HPV vaccine side effects, cases against vaccination in Japan were mainly reported at stage 1, whereas cases of HPV vaccine side effects from other countries such as Europe and USA were frequently reported at stage 2. In order to increase vaccination rate of HPV vaccine, it is time to take a strategic approach to prevent vague fear or anxiety about the vaccine.

• Journal of Fisheries and Marine Sciences Education
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• v.25 no.2
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• pp.448-457
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• 2013

The media is an effective means of preventing crime. It can be known to members of the media presiding over the most widely and rapidly. Because of this, the mass media is a good way to prevent such crime. Related to general crime, marine crime will have unique characteristics and about Crimes reported by the media, it is also true. The results of this study are as follows. Firstly, it is required that the more accurate present article must be published and reported. Secondly, for more accurate presentation of measure, there is a need to enhance professional training for reporters. Thirdly, the marine weather report is the most important political purpose of considering marine crime prevention. Forthly, marine crime is likely to be a lack of evidence. Therefore, in order to supplement the lack of evidence maritime security agency should be utilized for a news source.qualification Fifthly, the need for regular inspection of the articles is requested. Sixthly, for judicial control maintenance of the media related laws should be strengthened. Finally, the arbitration institution for media rights should be established under the Korea Ministry of Land Infrastructure and Transport. This is practical action for marine crime prevention.

• Korean journal of communication and information
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• v.79
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• pp.40-69
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• 2016

This study examines how the Korean media has covered the leukemia case of Samsung workers. The news articles on the cases, published in the three terrestrial broadcasting stations, the five major newspapers, progressive Internet news media, conservative Internet news media, and business newspapers between 2007 and 2015, were retrieved and analyzed. Four characteristics of news reports were discovered as following: First, while conservative news media and business news media have exnominated the first phase of the case in which a civil organization Sharp claimed that Samsung workers had leukemia from their workplace; they have nominated the second phase of the case in which Samsung attempted to solve the problem by compensating the victims for their disease. Second, the media generally have displayed more interests in the results than in the causes of the case. Third, the conservative press and business newspapers have reported the case in favor of Samsung rather than laborer victims. Fourth, the conservative press have deployed market-friendly discourses, rather than problematizing the state and civil society. Through an abduktive analysis, this study argues that except the Hangyore and Kyunghyang Shinmun, most of the Korean media, assuming pro-business attitude, do not question or clarify where the responsibility of the industrial disaster lies by displaying their interests in the phase of solution, not in the phase of cause.

• Korean Journal of Cognitive Science
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• v.12 no.1_2
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• pp.35-42
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• 2001

In this paper. a document is represented as a weighted graph called a text relationship map. In the graph. a node represents a vector of nouns in a sentence, an edge completely connects other nodes. and a weight on the edge is a value of the similarity between two nodes. The similarity is based on the word overlap between the corresponding nodes. The importance of a node. called an aggregate similarity in this paper. is defined as the sum of weights on the links connecting it to other nodes on the map. In this paper. we present a Korean text summarization system using the aggregate similarity. To evaluate our system, we used two test collection, one collection (PAPER-InCon) consists of 100 papers in the field of computer science: the other collection (NEWS) is composed of 105 articles in the newspapers and had built by KOROlC. Under the compression rate of 20%. we achieved the recall of 46.6% (PAPER-InCon) and 30.5% (NEWS) and the precision of 76.9% (PAPER-InCon) and 42.3% (NEWS).

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.18 no.4
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• pp.65-76
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• 2023

In the field of technology entrepreneurship and startups, the development of Artificial Intelligence(AI) has emerged as a key topic for business model innovation. As a result, venture firms are making various efforts centered on AI to secure competitiveness(Kim & Geum, 2023). The purpose of this study is to analyze the relationship between the development of GenAI technology and the startup ecosystem by analyzing domestic news articles to identify trends in the technology startup field. Using BIG Kinds, this study examined the changes in GenAI-related news articles, major issues, and trends in Korean news articles from 1990 to August 10, 2023, focusing on the emergence of ChatGPT before and after, and visualized the relevance through network analysis and keyword visualization. The results of the study showed that the mention of GenAI gradually increased in the articles from 2017 to 2023. In particular, OpenAI's ChatGPT service based on GPT-3.5 was highlighted as a major issue, indicating the popularization of language model-based GenAI technologies such as OpenAI's DALL-E, Google's MusicLM, and VoyagerX's Vrew. This proves the usefulness of GenAI in various fields, and since the launch of ChatGPT, Korean companies have been actively developing Korean language models. Startups such as Ritten Technologies are also utilizing GenAI to expand their scope in the technology startup field. This study confirms the connection between GenAI technology and startup entrepreneurship activities, which suggests that it can support the construction of innovative business strategies, and is expected to continue to shape the development of GenAI technology and the growth of the startup ecosystem. Further research is needed to explore international trends, the utilization of various analysis methods, and the possibility of applying GenAI in the real world. These efforts are expected to contribute to the development of GenAI technology and the growth of the startup ecosystem.

• Korean journal of communication and information
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• v.42
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• pp.205-248
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• 2008

There emerges a growing concern about South Korea's intellectual dependence on U.S. financial news media. However, those media's inherent relationship with national economic and financial interests has been poorly addressed. This paper thus attempts to identify such a strategic partnership between media and the government by analysing news coverages over four critical arena interwoven with U.S. dollar based financial system. For this purpose, total 152 news articles about Asia crisis, Asian Monetary Fund, Malaysia currency crisis and the new international financial architecture have been examined in terms of frame, attitude, cue-givers and discursive strategies. Research results indicate that not only have the media actively deferred to government leadership bur they have also acted as public diplomats in way of not hampering journalistic credibility. Hence, it is claimed that Korean society needs to formulate a model of media's strategic partnership with government at least in foreign policy arena, as well as to launch discursive strategies against nation-bound global news media.

• Knowledge Management Research
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• v.23 no.4
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• pp.315-338
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• 2022

In 1986, Korea established legal systems to support small and medium-sized start-ups, which becomes the main pillars of national development. The legal systems have stimulated start-up ecosystems to have more than 1 million new start-up companies founded every year during the past 30 years. To analyze the trend of Korea's start-up ecosystem, in this study, we collected 1.18 million news articles from 1991 to 2020. Then, we extracted news articles that have the keywords "start-up", "venture", and "start-up". We employed network analysis and topic modeling to analyze collected news articles. Our analysis can contribute to analyzing the government policy direction shown in the history of start-up support policy. Specifically, our analysis identifies the dynamic characteristics of government influenced by external environmental factors (e.g., society, economy, and culture). The results of our analysis suggest that the start-up ecosystems in Korea have changed and developed mainly by the government policies for corporation governance, industrial development planning, deregulation, and economic prosperity plan. Our frequency keyword analysis contributes to understanding entrepreneurial productivity attributed to activities among the networked components in industrial ecosystems. Our analyses and results provide practitioners and researchers with practical and academic implications that can help to establish dedicated support policies through forecast tasks of the economic environment surrounding the start-ups. Korean entrepreneurial productivity has been empowered by growing numbers of large companies in the mobile phone industry. The spectrum of large companies incorporates content startups, platform providers, online shopping malls, and youth-oriented start-ups. In addition, economic situational factors contribute to the growth of Korean entrepreneurial productivity the economic, which are related to the global expansions of the mobile industry, and government efforts to foster start-ups. Our research is methodologically implicative. We employ natural language processes for 30 years of media articles, which enables more rigorous analysis compared to the existing studies which only observe changes in government and policy based on a qualitative manner.

• Journal of Intelligence and Information Systems
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• v.24 no.1
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• pp.183-203
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• 2018

News articles are the most suitable medium for examining the events occurring at home and abroad. Especially, as the development of information and communication technology has brought various kinds of online news media, the news about the events occurring in society has increased greatly. So automatically summarizing key events from massive amounts of news data will help users to look at many of the events at a glance. In addition, if we build and provide an event network based on the relevance of events, it will be able to greatly help the reader in understanding the current events. In this study, we propose a method for extracting event networks from large news text data. To this end, we first collected Korean political and social articles from March 2016 to March 2017, and integrated the synonyms by leaving only meaningful words through preprocessing using NPMI and Word2Vec. Latent Dirichlet allocation (LDA) topic modeling was used to calculate the subject distribution by date and to find the peak of the subject distribution and to detect the event. A total of 32 topics were extracted from the topic modeling, and the point of occurrence of the event was deduced by looking at the point at which each subject distribution surged. As a result, a total of 85 events were detected, but the final 16 events were filtered and presented using the Gaussian smoothing technique. We also calculated the relevance score between events detected to construct the event network. Using the cosine coefficient between the co-occurred events, we calculated the relevance between the events and connected the events to construct the event network. Finally, we set up the event network by setting each event to each vertex and the relevance score between events to the vertices connecting the vertices. The event network constructed in our methods helped us to sort out major events in the political and social fields in Korea that occurred in the last one year in chronological order and at the same time identify which events are related to certain events. Our approach differs from existing event detection methods in that LDA topic modeling makes it possible to easily analyze large amounts of data and to identify the relevance of events that were difficult to detect in existing event detection. We applied various text mining techniques and Word2vec technique in the text preprocessing to improve the accuracy of the extraction of proper nouns and synthetic nouns, which have been difficult in analyzing existing Korean texts, can be found. In this study, the detection and network configuration techniques of the event have the following advantages in practical application. First, LDA topic modeling, which is unsupervised learning, can easily analyze subject and topic words and distribution from huge amount of data. Also, by using the date information of the collected news articles, it is possible to express the distribution by topic in a time series. Second, we can find out the connection of events in the form of present and summarized form by calculating relevance score and constructing event network by using simultaneous occurrence of topics that are difficult to grasp in existing event detection. It can be seen from the fact that the inter-event relevance-based event network proposed in this study was actually constructed in order of occurrence time. It is also possible to identify what happened as a starting point for a series of events through the event network. The limitation of this study is that the characteristics of LDA topic modeling have different results according to the initial parameters and the number of subjects, and the subject and event name of the analysis result should be given by the subjective judgment of the researcher. Also, since each topic is assumed to be exclusive and independent, it does not take into account the relevance between themes. Subsequent studies need to calculate the relevance between events that are not covered in this study or those that belong to the same subject.

• Journal of the Korea Society of Computer and Information
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• v.18 no.12
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• pp.103-111
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• 2013

At present, a variety of Korean news stories have been about important online content and its importance in the press is becoming higher. Diverse news from businesses are provided to the public as press releases through newspapers or broadcasting media. For such news to become information for a press release, enterprises visit reporters, use e-mails, faxes, or couriers to deliver the information. However, such methods have problems with time, human resources, expenses, and file damage. Also, with these methods it is bothersome for enterprises to check what has been released and for the press to make frequent contact with enterprises for interviews and for content to be released. Therefore, this study aimed to realize a distribution system which enterprises can use to distribute data to be released to the press and to easily check what is to be released while the press can ask for interview requests in a simple way, as well as a news gathering robot that can collects news on the enterprises involved from articles online or in portal sites.