• Korean journal of communication and information
• /
• v.36
• /
• pp.399-422
• /
• 2006

Whether to reduce the current 'screen quota' for domestic films in conjunction with the FTA discussions between Korea and the United States is one of the hotly debated issues in Korea. Using Toulmin's Argumentation Model, this study attempts to trace the use of data and warrants for each pro and con claims as portrayed in newspaper editorial columns and to find its rhetorical significance. A total of 67 editorial columns were collected from 9 nationwide news dailies in Korea for the purpose. The rhetorical analysis of those articles showed that the major warrants used in each pro and con opinion were absent of the potential issues of the opponents, which inherently fails to invite rebuttals from the opposite sides. This conceptual wall in each argumentation models implies an inactive conversation and subsequent absence of clash between the pro and con argumentation fields. It is thus suggested for opinion writers to find more adequate evidences to support the data and warrants to hold persuasive power of their respective claims, ultimately to enhance the public discourse among citizens.

• Journal of Intelligence and Information Systems
• /
• v.21 no.1
• /
• pp.65-82
• /
• 2015

Recently, there has been a surge of interest in finding core issues and analyzing emerging trends for the future. This represents efforts to devise national strategies and policies based on the selection of promising areas that can create economic and social added value. The existing studies, including those dedicated to the discovery of future promising fields, have mostly been dependent on qualitative research methods such as literature review and expert judgement. Deriving results from large amounts of information under this approach is both costly and time consuming. Efforts have been made to make up for the weaknesses of the conventional qualitative analysis approach designed to select key promising areas through discovery of future core issues and emerging trend analysis in various areas of academic research. There needs to be a paradigm shift in toward implementing qualitative research methods along with quantitative research methods like text mining in a mutually complementary manner. The change is to ensure objective and practical emerging trend analysis results based on large amounts of data. However, even such studies have had shortcoming related to their dependence on simple keywords for analysis, which makes it difficult to derive meaning from data. Besides, no study has been carried out so far to develop core issues and analyze emerging trends in special domains like the aviation industry. The change used to implement recent studies is being witnessed in various areas such as the steel industry, the information and communications technology industry, the construction industry in architectural engineering and so on. This study focused on retrieving aviation-related core issues and emerging trends from overall research papers pertaining to aviation through text mining, which is one of the big data analysis techniques. In this manner, the promising future areas for the air transport industry are selected based on objective data from aviation-related research papers. In order to compensate for the difficulties in grasping the meaning of single words in emerging trend analysis at keyword levels, this study will adopt topic analysis, which is a technique used to find out general themes latent in text document sets. The analysis will lead to the extraction of topics, which represent keyword sets, thereby discovering core issues and conducting emerging trend analysis. Based on the issues, it identified aviation-related research trends and selected the promising areas for the future. Research on core issue retrieval and emerging trend analysis for the aviation industry based on big data analysis is still in its incipient stages. So, the analysis targets for this study are restricted to data from aviation-related research papers. However, it has significance in that it prepared a quantitative analysis model for continuously monitoring the derived core issues and presenting directions regarding the areas with good prospects for the future. In the future, the scope is slated to expand to cover relevant domestic or international news articles and bidding information as well, thus increasing the reliability of analysis results. On the basis of the topic analysis results, core issues for the aviation industry will be determined. Then, emerging trend analysis for the issues will be implemented by year in order to identify the changes they undergo in time series. Through these procedures, this study aims to prepare a system for developing key promising areas for the future aviation industry as well as for ensuring rapid response. Additionally, the promising areas selected based on the aforementioned results and the analysis of pertinent policy research reports will be compared with the areas in which the actual government investments are made. The results from this comparative analysis are expected to make useful reference materials for future policy development and budget establishment.

• Journal of the Korean Dietetic Association
• /
• v.11 no.1
• /
• pp.51-66
• /
• 2005

The purpose of this study was to do the quantitative analysis about food and nutrition informations in TV program by monitoring newscastings, health-related food and nutrition information programs, dramas for family, education programs for children, and seniors’ information programs in major TV broadcasting companies (KBS, MBC, SBS, EBS). In this study, number of cases about the health-related food and nutrition informations and the length of program were analyzed. Also, they were compared and analyzed by the year. Monitoring staff, who had majored in food and nutrition and completed the monitoring training, monitored programs and analysis the quantity of food and nutrition informations in each program from 2002 to 2003. Results of quantitative analysis for this study are as follows; There were total number of 15,226 cases. Among them, the total number of health-related information was 5,623 cases(36.9%), and the total number of food-related information was 3,848 cases (25.3%). The ratio of total food and nutrition information to total health-related informations was 86.2%. In news programs from 2002 to 2003, the total number of health-related information to total cases decreased to 16.1% from 17.9%. The ratio of total food and nutrition information to total cases decreased to 3.6% from 6.6%. The frequency of the health-related informations was mostly served in the newscastings was highest, in both October 2002, and September 2003. In health information programs from 2002 to 2003, the ratio of food and nutrition information to total cases increased to 57.4% from 32.4%. In dramas from 2002 to 2003 , the ratio of broadcasting time of food-related scenes to total cases decreased to 17.2% from 20.8%. In education programs for children the ratio of food and nutrition information to total cases was 8.2% in 2002. In information programs for seniors the ratio of food and nutrition information was to total cases 26.2% in 2002. As the result of this study, the rate of health-related information in TV program and the rate of food and nutrition information were changing. And the rate of nutrition information in health information programs are increased. To give sound informations to the public, monitoring should be established and managed continuously.

• Journal of the Korean Dietetic Association
• /
• v.11 no.1
• /
• pp.67-85
• /
• 2005

The study aimed to perform the qualitative analysis of food and nutrition informations offered in TV program by monitoring newscastings, health-related programs giving food and nutrition information, dramas for family, education programs for children, and information programs for elderly in major TV broadcasting station(KBS, MBC, SBS, EBS). In this study, statistical analysis were done for numbers of information items related to health or food and nutrition informations. Duration of program the main, subject, sources, evaluation criteria of the contents. Results of qualitative monitoring for TV program are as follows. For health-related informations major propotions of subjects for the newscastings were about diseases. Those for health information programs were about foods. Those for children-education programs were about groceries. Those for seniors’ information programs were about eating habits. The analysis of food and nutrition information sources for most of programs were interviews with specialist and normal person, and on-the-spot-investingations. For food and nutrition informations those were evaluated as inappropriate, the propotion of news was increased to 72.2% in 2003 from 49.3% in 2002. For health information programs, it was increased to 67.7% in 2003 from 54.0% in 2002. But, in drama the propotion of inappropriate scenes were decreased to 16.2% in 2003 from 63.2% in 2002. In children-education programs, it was 40.0%. In seniors’ information programs, it was 17.9% in 2002. The propotion of cases that the quantity of foods is inappropriate in the food scene of serial drama, decreased to 15.8% in 2003 from 28.6% in 2002. The rate of drinking scenes increased to 11.5% from 10.7%. The rate of smoking scenes decreased to 0.2% from 1.6% due to the broadcasting self-regulation of smoking scenes in dramas. In the newscatings and information programs, reasons of being evaluated as inappropriate was that they didn’t have any practical suggestions and proper intakes. There were also insufficient explanation for technical terminology, different comparison standard of nutritive value, and exaggeration for physiological effect of food. The drama contained a lot of unnecessary scenes of alcohol drinking, coffee drinking, midnight meal, and had more quantity of foods than the quantity needed for persons to the scene. As the result of this study, the rate of food and nutrition information were high, but the rate of information which was evaluate as appropriate was not sufficient. There are need to improve contents of information and to moniter the contents for consumer.

• Journal of Information Management
• /
• v.37 no.1
• /
• pp.83-103
• /
• 2006

This study analyzes the classification schemes and classified information resources of the directory services provided by major web portals to complement keyword-based retrieval. Specifically, this study intends to quantitatively analyze the topic categories, the information resources by subject, and the information resources classified by the topic categories of three directories, Yahoo, Naver, and Empas. The result of this analysis reveals some differences among directory services. Overall, these directories show different ratios of referred categories to original categories depending on the subject area, and the categories regarded as format-based show the highest proportion of referred categories. In terms of the total amount of classified information resources, Yahoo has the largest number of resources. The directories compared have different amounts of resources depending on the subject area. The quantitative analysis of resources classified by the specific category is performed on the class of 'News & Media'. The result reveals that Naver and Empas contain overly specified categories compared to Yahoo, as far as the number of information resources categorized is concerned. Comparing the depth of the categories assigned by the three directories to the same information resources, it is found that, on average, Yahoo assigns one-step further segmented divisions than the other two directories to the identical resources.

• Journal of Internet Computing and Services
• /
• v.21 no.1
• /
• pp.127-135
• /
• 2020

As the importance of the use and analysis of big data is emerging, there is a growing interest in natural language processing techniques for unstructured data such as news articles and comments. Particularly, as the collection of big data becomes possible, data mining techniques capable of pre-processing and analyzing data are emerging. In this case study with a telecom company, we propose a methodology how to formalize unstructured data using text mining. The domain is determined as equipment failure and the data is about 2.2 million equipment check ledger data. Data on equipment failures by 800,000 per year is accumulated in the equipment check ledger. The equipment check ledger coexist with both formal and unstructured data. Although formal data can be easily used for analysis, unstructured data is difficult to be used immediately for analysis. However, in unstructured data, there is a high possibility that important information. Because it can be contained that is not written in a formal. Therefore, in this study, we study to develop digital transformation method for unstructured data in equipment check ledger.

• Journal of the Korea Society of Computer and Information
• /
• v.26 no.12
• /
• pp.247-254
• /
• 2021

As COVID-19 spread, non-face-to-face activities were required, and the use of service robots is gradually increasing. This paper analyzed the relationship between the increasing trend of service robots before and after COVID-19 through keyword search containing the keyword 'service robot AND non-face-to-face' over the past three years (2018.10-20219) using BigKines, a news big data analysis system. As a result, there were 0 cases in the first period (2018.10~2019.9), 52 cases in the second period (2019.10~2020.9) and 112 cases in the third period (2020.10~2021.9), an increase of 115% compared to the second period. The keywords commonly mentioned in the analysis of related words in the second and third periods were COVID-19, AI, the Ministry of Trade, Industry, and Energy, and LG Electronics, and the weight of COVID-19 was the largest, confirming that the analysis keyword. Due to the spread of Corona 19, non-face-to-face is required, and with the development of information and communication technology, the field of application of service robots is rapidly increasing. Accordingly, for the commercialization of service robots that will lead the non-face-to-face economy, there is an urgent need to nurture human resources that require standardization and expertise in safety and performance fields.

• Journal of Broadcast Engineering
• /
• v.23 no.6
• /
• pp.836-854
• /
• 2018

This study is analyzing the effects of energy conservation consciousness on Korean energy saving behavior through the mediating effects of energy-related broadcasting media, such as TV. The study is carried out through the survey with structured questionnaire for each factors, using a mediating analysis based on PROCESS Macro proposed by Hayes (2013). The results of the study have been found that people with higher energy conservation consciousness displayed energy saving behavior more frequently and more actively for energy saving behavior as they were more exposed to energy-related broadcasting media. By energy-related broadcasting media the effect of energy public service ad and campaign was the largest at 15.3%, followed by energy news at 12.1%. But energy documentary has no effect on energy saving behavior. Based on the results of this analysis, it is necessary to establish a broadcasting policy that enhances the frequency of energy-related broadcasting media and energy documentary that can induce energy saving behavior. It is also necessary to make efforts to increase the reliability of analysis through empirical data such as electricity bills and fuel cost which show the actual saving level by energy saving behavior.

• Informatization Policy
• /
• v.26 no.1
• /
• pp.62-82
• /
• 2019

This study attempts to make an empirical analysis on how mobile devices affect users in building their social relationship and if their influences are negative or positive. The purpose of this research is to explain the results by considering all the possibilities and exploring everyday lives of using mobile devices. We used the survey data from the "Research on Mobile Environment Awareness" conducted by Gyeonggi Research Institute(GRI). The main question was about the use of mobile devices and social network services (SNS) and users' opinions on using the devices. All of the 31 municipalities in Gyeonggi Province were included as a spatial range, and the final validity sample was 1,004 residents. The extent of the relationship with people is selected as a dependent variable through the multinomial logistic model and the decision tree model. As a result of the multinomial logistic analysis on the questionnaire, the characteristics of the respondents with some changes in the scope of the human relationship were found to have a significant (+) effect on conversation with family, SNS usage, residence in the rural area but not urban area, and device usage for obtaining news. The largest variable affecting the extent of relationship was the SNS usage. As the amount of SNS usage increases, the extent of the relationship also changes a lot.

• 한국체육학회지인문사회과학편
• /
• v.56 no.2
• /
• pp.303-320
• /
• 2017

This paper seeks to better understand the focal issues and persons related to Rio Olympic soccer games through social data science and analytics. This study collected its data from online news articles and comments specific to KOR during the Olympic football games. In order to investigate the public interests for each game and target persons, this study performed the co-occurrence words analysis. Then after, the study applied the NodeXL software to perform its visualization of the results. Through this application and process, the study found several major issues during the Rio Olympic men's football game including the following: the match between KOR and PIJ, KOR player Heungmin Son, commentator Young-Pyo Lee, sportscaster Woo-Jong Jo. The study also showed the general public opinion expressed positive words towards the South Korean national football team during the Rio Olympics, though there existed negative words as well. Furthermore the study revealed positive attitude towards the commentators and casters. In conclusion, the way to increase the public's interest in big sporting events can be achieved by providing the following: contents that include various professional sports analysis, a capable domain expert with thorough preparation, a commentator and/or caster with artistic sense as well as well-spoken, explanatory power and so on. Multidisciplinary research combined with sports science, social science, information technology and media can contribute to a wide range of theoretical studies and practical developments within the sports industry.