• Journal of Intelligence and Information Systems
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• v.20 no.4
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• pp.89-105
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• 2014

After emergence of Internet, social media with highly interactive Web 2.0 applications has provided very user friendly means for consumers and companies to communicate with each other. Users have routinely published contents involving their opinions and interests in social media such as blogs, forums, chatting rooms, and discussion boards, and the contents are released real-time in the Internet. For that reason, many researchers and marketers regard social media contents as the source of information for business analytics to develop business insights, and many studies have reported results on mining business intelligence from Social media content. In particular, opinion mining and sentiment analysis, as a technique to extract, classify, understand, and assess the opinions implicit in text contents, are frequently applied into social media content analysis because it emphasizes determining sentiment polarity and extracting authors' opinions. A number of frameworks, methods, techniques and tools have been presented by these researchers. However, we have found some weaknesses from their methods which are often technically complicated and are not sufficiently user-friendly for helping business decisions and planning. In this study, we attempted to formulate a more comprehensive and practical approach to conduct opinion mining with visual deliverables. First, we described the entire cycle of practical opinion mining using Social media content from the initial data gathering stage to the final presentation session. Our proposed approach to opinion mining consists of four phases: collecting, qualifying, analyzing, and visualizing. In the first phase, analysts have to choose target social media. Each target media requires different ways for analysts to gain access. There are open-API, searching tools, DB2DB interface, purchasing contents, and so son. Second phase is pre-processing to generate useful materials for meaningful analysis. If we do not remove garbage data, results of social media analysis will not provide meaningful and useful business insights. To clean social media data, natural language processing techniques should be applied. The next step is the opinion mining phase where the cleansed social media content set is to be analyzed. The qualified data set includes not only user-generated contents but also content identification information such as creation date, author name, user id, content id, hit counts, review or reply, favorite, etc. Depending on the purpose of the analysis, researchers or data analysts can select a suitable mining tool. Topic extraction and buzz analysis are usually related to market trends analysis, while sentiment analysis is utilized to conduct reputation analysis. There are also various applications, such as stock prediction, product recommendation, sales forecasting, and so on. The last phase is visualization and presentation of analysis results. The major focus and purpose of this phase are to explain results of analysis and help users to comprehend its meaning. Therefore, to the extent possible, deliverables from this phase should be made simple, clear and easy to understand, rather than complex and flashy. To illustrate our approach, we conducted a case study on a leading Korean instant noodle company. We targeted the leading company, NS Food, with 66.5% of market share; the firm has kept No. 1 position in the Korean "Ramen" business for several decades. We collected a total of 11,869 pieces of contents including blogs, forum contents and news articles. After collecting social media content data, we generated instant noodle business specific language resources for data manipulation and analysis using natural language processing. In addition, we tried to classify contents in more detail categories such as marketing features, environment, reputation, etc. In those phase, we used free ware software programs such as TM, KoNLP, ggplot2 and plyr packages in R project. As the result, we presented several useful visualization outputs like domain specific lexicons, volume and sentiment graphs, topic word cloud, heat maps, valence tree map, and other visualized images to provide vivid, full-colored examples using open library software packages of the R project. Business actors can quickly detect areas by a swift glance that are weak, strong, positive, negative, quiet or loud. Heat map is able to explain movement of sentiment or volume in categories and time matrix which shows density of color on time periods. Valence tree map, one of the most comprehensive and holistic visualization models, should be very helpful for analysts and decision makers to quickly understand the "big picture" business situation with a hierarchical structure since tree-map can present buzz volume and sentiment with a visualized result in a certain period. This case study offers real-world business insights from market sensing which would demonstrate to practical-minded business users how they can use these types of results for timely decision making in response to on-going changes in the market. We believe our approach can provide practical and reliable guide to opinion mining with visualized results that are immediately useful, not just in food industry but in other industries as well.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.36 no.3
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• pp.587-594
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• 2016

Even though accidents occurred inside urban railway stations demage not only one person, but also surrounding people, it can be prevented by cautious actions. This research aims at infants and children, which can maximize the educational impacts, to develop a safety textbook which can educate safety rules and behavioral know-how to reduce the accidents occurred in urban railway stations, and at parents and teachers to gather opinions through surveys on the research's future direction. This research conducts a case study and comparison analysis on domestic and foreign safety manuals, which is organized in a book form of fairy tales educating safety rules for readers to utilize the urban railway by steps from boarding to taking off. Through a survey we conducted for parents and teachers as providing the safety textbook developed through this research, we could get the positive evaluations and gather opinions on the future research direction. The safety textbook developed in a form of fairy tale book through this research is for infants and children to use the urban railway in a safe manner, which is expected to evoke the interests and curiosity and create the educational impacts on users.

• Journal of the Korean Society of Environmental Restoration Technology
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• v.25 no.4
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• pp.49-65
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• 2022

Since trees in the city are green assets that create a healthy environment for the city, systematic management of trees improves urban ecosystem services. The sporadic urban tree information centered on the site is vast, and it is difficult to manage the data, so efforts to increase efficiency are needed. This paper summarizes tree data inventory based on data constructed by Seoul Green Trust activists and constructs and discloses online database maps using Tableau Software. In order to verify the utilization of the map, we divided into consumer and supplier aspects to collect various opinions and reflect feedback to implement tree database maps for each area and species of Seoul Forest. As a result, the utilization value of tree database in urban parks was presented. The technical significance of this study is to systematically record the process of constructing and implementing a dashboard directly using the Mapbox platform and Tableau Software in the field of landscaping for the first time in Korea. In addition, the implications and supplements of landscape information were derived by collecting user opinions on the results. This can be used as an exploratory basis in the process of developing online-based services such as web and apps by utilizing landscaping tree information in the future. Although the visualization database currently constructed has limitations that ordinary users cannot interact in both directions because it utilizes business intelligence tools in terms of service provision it has affirmed both the database construction and its usability in web public format. In the future it is essential to investigate the assets of the trees in the city park and to build a database as a public asset of the city. The survey participants positively recognized that information is intuitively presented based on the map and responded that it is necessary to provide information on the overall urban assets such as small parks and roadside trees by using open source maps in the future.

• Journal of the Korean Society for information Management
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• v.39 no.3
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• pp.1-22
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• 2022

The purpose of this study is to propose a book recommendation system that can be used in school libraries. The book recommendation system applies an algorithm based on association rules using DLS lending data and is designed to provide personalized book recommendation services to school library users. For this purpose, association rules based on the Apriori algorithm and betweenness centrality analysis were applied and detailed functions such as descriptive statistics, generation of association rules, student-centered recommendation, and book-centered recommendation were materialized. Subsequently, opinions on the use of the book recommendation system were investigated through in-depth interviews with teacher librarians. As a result of the investigation, opinions on the necessity and difficulty of book recommendation, student responses, differences from existing recommendation methods, utilization methods, and improvements were confirmed and based on this, the following discussions were proposed. First, it is necessary to provide long-term lending data to understand the characteristics of each school. Second, it is necessary to discuss the data integration plan by region or school characteristics. Third, It is necessary to establish a book recommendation system provided by the Comprehensive Support System for Reading Education. Based on the contents proposed in this study, it is expected that various discussions will be made on the application of a personalization recommendation system that can be used in the school library in the future.

• Journal of the Korean Society of Safety
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• v.35 no.3
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• pp.32-42
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• 2020

In this study, in order to secure the necessity of introducing the safety certification system for the assembled temporary equipment and materials, the feasibility of the introduction was analyzed through literature review, structural analysis, and actual experiments and surveys related to the assembled temporary equipment and materials. In the previous studies, it was found that the research on the assembled temporary equipment and materials was insufficient, and it was possible to grasp the necessity of introducing the safety certification system for the assembled temporary equipment and materials. In addition, in the results of the serious accident analysis, it was found that the soundness of the temporary equipment and materials is determined by the structural characteristics after it was assembled. As a result of the feasibility analysis of the introduction of the safety certification of the assembled temporary equipment and materials through structural analysis, it is possible to effectively and rationally reflect the main geometrical influence factors, and to introduce the safety certification system that can test the procedures and procedures of the assembled temporary equipment and materials and based on it. It was found that there is a need. As a result of feasibility analysis on the necessity of introducing the safety certification system for assembled temporary equipment and materials through actual experiments, the existing single member performance evaluation has limitations in evaluating the structural performance of the assembled temporary equipment and materials. It was found that there is a need to introduce a safety certification system. As a result of gathering opinions on the feasibility of introducing the safety certification system for assembled temporary equipment and materials of manufacturers and users through the survey, it was found that the overall positive response result was high and the effectiveness was high.

• Journal of the Korea Society of Computer and Information
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• v.25 no.10
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• pp.87-94
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• 2020

Social reviews such as SNS feeds and blog articles have been widely used to extract keywords reflecting opinions and complaints from users' perspective, and often include proper nouns or new words reflecting recent trends. In general, these words are not included in a dictionary, so conventional morphological analyzers may not detect and extract those words from the reviews properly. In addition, due to their high processing time, it is inadequate to provide analysis results in a timely manner. This paper presents a method for efficient keyword extraction from social reviews based on the notion of cohesion scoring. Cohesion scores can be calculated based on word frequencies, so keyword extraction can be performed without a dictionary when using it. On the other hand, their accuracy can be degraded when input data with poor spacing is given. Regarding this, an algorithm is presented which improves the existing cohesion scoring mechanism using the structure of a word tree. Our experiment results show that it took only 0.008 seconds to extract keywords from 1,000 reviews in the proposed method while resulting in 15.5% error ratio which is better than the existing morphological analyzers.

• The Journal of the Korea Contents Association
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• v.15 no.7
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• pp.353-367
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• 2015

From the era of feature phone to the current smart phone which bloomed Social Network Games(SNGs), mobile games have held the top position as killer contents of mobile market. Mobile game has many constraints such as specification of device, network status, and external environment. Based on common perspective of game research, these factors have negative influences on flow of user. Even with these opinions, most mobile gamers have felt satisfaction. To explain this phenomenon, our research focuses on the constraints. Referring to theoretical concepts, we attempt to clarify the relationship between game features and flow through survey methodology. Our finding shows that the constraints have a positive effect on flow even though it disaccords with previous studies. Therefore, we argue that users of mobile game have sense of satisfaction not a cognitive overload as discomforts.

• Journal of KIISE:Software and Applications
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• v.31 no.3
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• pp.332-342
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• 2004

With the explosive growth of information in our real life, information filtering is quickly becoming a popular technique for reducing information overload. Information filtering technique is divided into two categories: content-based filtering and collaborative filtering (or social filtering). Content-based filtering selects the information based on contents; while collaborative filtering combines the opinions of other persons to make a prediction for the target user. In this paper, we describe a new filtering approach that seamlessly combines content-based filtering and collaborative filtering to take advantages from both of them, where a technique using user profiles efficiently on the collaborative filtering framework is introduced to predict a user's preference. The proposed approach is experimentally evaluated and compared to conventional filtering. Our experiments showed that the proposed approach not only achieved significant improvement in prediction quality, but also dealt with new users well.

• Journal of the Korean Society for Library and Information Science
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• v.47 no.4
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• pp.363-387
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• 2013

The National Sejong Library of Korea that is constructed in Sejong City is a public library as well as a library specialized in policy information and children's service. Thus, this study intended to suggest measures of space composition in the National Sejong Library of Korea. First, it proposed strategies for space composition by analyzing cases on spatial factors that are key elements in a national library. Second, it suggested space composition and circulation plan that can support policy information and children's service in order to establish a user-oriented national as well as public library. And finally, it collected opinions from operating managers for the effective progression of space composition in the blueprint on each floor while focusing on users' circulation plan and granting spatial characteristics.

• Journal of Pharmacopuncture
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• v.19 no.4
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• pp.344-349
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• 2016

Objectives: This study aimed to determine the knowledge levels and attitudes of School of Health and Vocational School of Health students toward complementary and alternative medicine (CAM). Methods: Three hundred thirty-three (333) students studying at the Mehmet Akif Ersoy University School of Health and the Golhisar Vocational School of Health in Burdur, Turkey, were included in the study. Research data were collected by using a survey method based on the expressed opinions of the participants. Results: Of the participants, 69.7% were female and 97% were single (unmarried). Of cigarette users and those with chronic illnesses, 46.8% and 47.8%, respectively, used CAM. Those using CAM were statistically more likely to be female (P < 0.021), to have higher grades (P < 0.007), to be single (P < 0.005), to be vocational school of health graduates (P < 0.008), and to have fathers at work (P < 0.021). While 9.6% of the students thought CAM to be nonsense, 10.8% thought that the methods of CAM should be tried before consulting a doctor. Conclusion: A majority of the students in the study population were found to use complementary and alternative medicine, but that they lacked information about its methods. As a way to address this, CAM should be included in the curriculum of schools that provide health education, and CAM training programs should be given to healthcare professionals to improve their knowledge of CAM. In Turkey, many more studies should be performed to determine nurses' and doctors' knowledge of and attitudes about CAM methods so that they can give correct guidance to society and take more active responsibility in improving patient safety.