• Korean journal of communication and information
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• v.59
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• pp.138-161
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• 2012

This study is designed to explore the function of Twitter as a campaign platform during election campaign. For exploring the function of Twitter the form of tweet, the type of information on tweet and the way of opinion expression via Twitter were discussed by content analysis. This study finds, first, that, netizens express their opoinion of candidates without foundation and with emotional reactions. Second, they showed somewhat conflictive reactions according to their supporting candidates. This study conceptualized various kinds of public as 'blindly support public,' and 'blindly opposition public' in case of Park's supporters, 'rational support public,' and 'critical opposition public' in case of Na's supporters. Third, Park's supporters debated Na candidate's attitude of debate and her appearance blindly without foundation. Na's supporters argued Park's attitude of debate and his ignorance of Seoul Metropolitan government's policy blindly without foundation. Finally, this study discussed the relationship between the political discourse according to netizens' supporting via Twitter and the results of election. Park whose supporters attacked the opposing candidate by blaming her appearance and her attitude of debate won the election. Na didn't overcome her negative images. For her Twitter functioned as a media which is spreading negative factors about her. In conclusion, Twitter as a campaign platform during election times plays a key role in discussing candidates. However, netizens need to express their opinions with foundation and the candidates have to consider negative issue management. This study highlights the importance of peripheral factors which have a decisive effect on the results of election. The results of this study is useful for building political campaign strategy by candidates.

• Korean Journal of Health Education and Promotion
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• v.26 no.2
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• pp.119-133
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• 2009

Objective: The aim of this study was to asses individual, organizational and environmental capacity for members of Healthy Cities Partnership (KHCP) and exploring advanced suggestions for further developing. Methods: Participants were 27. The questionnaire was developed based on Health Promotion Capacity Checklist and it analyze capacity in 3 lelvels including individual, organizational and environmental. Each level is consist of 4 sections, individual: 'Knowledge', 'Skills', 'Commitment' and 'Resources', organizational; 'Commitment', 'Culture', 'Structure' and 'Resources', environment:'Public opinion', 'Political will', 'Supportive organizations' and 'Ideas and other resources'. Each section was assessed in 4 point rating scale and cross analyzed with basic information. Results: The mean score of 3 levels were 2.57. Among the 3 levels, 'Individual' marks 2.78 point which were top and 'Organizational' marks 2.59 and 'Environmental' marks 2.33. There were no significant factors affecting Healthy cities capacity of 'Individual' and 'Organizational' level, but just 'specialization' of 'Environmental' had significance. Conclusion: Above the results, this study suggested that just 'Individual' capacity is above median point and other levels were lower. Further efforts for developing Healthy cities capacity, especially focused on 'Organizational' and 'Environmental' levels, is strongly required.

• The Journal of Korean Physical Therapy
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• v.27 no.2
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• pp.96-105
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• 2015

Purpose: This study was conducted in order to explore self-perceived objectives, effects, determinant factors of satisfaction and demands on home-based rehabilitation service (HBRS) based on a community-based rehabilitation (CBR) model in community-dwelling disabilities. Methods: This research was conducted through in-depth interview. HBRS was conducted by four physical therapists for one hour a day, once a week, for eight weeks. After an eight-week intervention period, in-depth interviews were conducted using a semi-structured questionnaire for five recipients of HBRS and six care givers. Results: For the physical effect, some participants experienced positive effects, whereas others did not due to the short-term intervention period. For the social and emotional effects, 'occurrence of motivation for exercise', 'change of surroundings' and 'sorriness for the therapist' emerged as keywords. For the determinant factors of satisfaction, 'movement-inducing therapy', 'therapy from the specialist', 'development of friendship & social network', and 'learning the way of self-rehabilitation' emerged as keywords. For further demands on HBRS, participants stated that 'sufficient time for therapy', 'user opinion-reflected therapy', 'additional instructions for therapeutic exercise & activities of daily living', and 'active promotion for HBRS' were necessary. Conclusion: Participants were satisfied with the physical, social, emotional, and educational aspects of HBRS. In particular, the participants regarded educational aspects as the significant factor throughout self-perceived objectives, determinant factors of satisfaction and the demands. This result suggests that when providing HBRS to community-dwelling persons with disabilities, therapists should recognize the necessity and significance not only of the physical, but also the educational aspect of HBRS.

• International Journal of Computer Science & Network Security
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• v.24 no.2
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• pp.79-88
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• 2024

The use of the social media has become part of our daily life activities. The social web channels provide the content generation facility to its users who can share their views, opinions and experiences towards certain topics. The researchers are using the social media content for various research areas. Sentiment analysis, one of the most active research areas in last decade, is the process to extract reviews, opinions and sentiments of people. Sentiment analysis is applied in diverse sub-areas such as subjectivity analysis, polarity detection, and emotion detection. Stance classification has emerged as a new and interesting research area as it aims to determine whether the content writer is in favor, against or neutral towards the target topic or issue. Stance classification is significant as it has many research applications like rumor stance classifications, stance classification towards public forums, claim stance classification, neural attention stance classification, online debate stance classification, dialogic properties stance classification etc. This research study explores different feature sets such as lexical, sentiment-specific, dialog-based which have been extracted using the standard datasets in the relevant area. Supervised learning approaches of generative algorithms such as Naïve Bayes and discriminative machine learning algorithms such as Support Vector Machine, Naïve Bayes, Decision Tree and k-Nearest Neighbor have been applied and then ensemble-based algorithms like Random Forest and AdaBoost have been applied. The empirical based results have been evaluated using the standard performance measures of Accuracy, Precision, Recall, and F-measures.

• Journal of the Korean Society for Library and Information Science
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• v.55 no.4
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• pp.5-22
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• 2021

This study aimed to understand how people perceive the transition from offline to online classes at universities during the COVID-19 pandemic. To achieve the goal, we collected tweets related to online classes on Twitter and performed sentiment and time series topic analysis. We have the following findings. First, through the sentiment analysis, we found that there were more negative than positive opinions overall, but negative opinions had gradually decreased over time. Through exploring the monthly distribution of sentiment scores of tweets, we found that sentiment scores during the semesters were more widespread than the ones during the vacations. Therefore, more diverse emotions and opinions were showed during the semesters. Second, through time series topic analysis, we identified five main topics of positive tweets that include class environment and equipment, positive emotions, places of taking online classes, language class, and tests and assignments. The four main topics of negative tweets include time (class & break time), tests and assignments, negative emotions, and class environment and equipment. In addition, we examined the trends of public opinions on online classes by investigating the changes in topic composition over time through checking the proportions of representative keywords in each topic. Different from the existing studies of understanding public opinions on online classes, this study attempted to understand the overall opinions from tweet data using sentiment and time series topic analysis. The results of the study can be used to improve the quality of online classes in universities and help universities and instructors to design and offer better online classes.

• Journal of Digital Convergence
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• v.13 no.4
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• pp.395-404
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• 2015

This study is exploring objective awareness of literary therapy by consideration of popular perception about literary therapy through analysis of big data. The purpose of this study is the deduction of meaning information through analysis in the viewpoint of big data at online social network service(SNS) about 'literary therapy'. Accordingly, the main way of research became content analysis of keyword linked to literary therapy by utilizing opinion mining method related to text mining. The study mainly grasped 'literary therapy' and analyzed 'bibliotherapy' comparatively. The period of study was from Oct. 10th to Nov. 10th, 2014(during 30 days), and SNS such as blog or twitter became the subject of search. Through the result of study analysis, the conclusion that the spread of literary therapeutic prospect, structural harmony of literary therapeutic field, and the solidity of perceptional axis about literary therapy are needed can be drawn. This study is worthwhile because it can investigate popular awareness about literary therapy and can suggest alternative for invigoration of literary therapy.

• (The) Research of the performance art and culture
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• no.36
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• pp.45-73
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• 2018

In this paper, I examine how the voice of Simcheong is reproduced and the meaning of it by examining the reconstruction method and characteristics of . And I tried to explore the possibilities and directions of contents based on classical literature by exploring the way in which this text reintermediation, and recreates the narrative of . This work deals with the story of ShimChung, and sees the problematic aspects of ShimChung's sacrifice and death through the gaze of the surrounding people such as the Namkyeong merchant and Guideok's mother while excluding the central characters Shimcheong and Shimbongsa. In the process, the voice of Simcheong was discovered as a victim and social hit. And It connects this with the discourse of filial duty and virtuous woman which regulates the life of women in the patriarchal society and establishes the place of social public opinion about the life of the women of the Joseon era. In this way, is presented the possibility of a new interpretation of . Also readers and audiences of present-day have an opportunity to reconsider the 'sacrifice' of social subordinate based on deep understanding of .

• Journal of the Korean Society for information Management
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• v.38 no.4
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• pp.113-128
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• 2021

In this study, we aimed to understand the public opinion on COVID-19 vaccine. To achieve the goal, we analyzed COVID-19 vaccine-related Twitter posts. 45,413 tweets posted from March 16, 2020 to March 15, 2021 including COVID-19 vaccine names as keywords were collected. The 12 vaccine names used for data collection included 'Pfizer', 'AstraZeneca', 'Modena', 'Jansen', 'NovaVax', 'Sinopharm', 'SinoVac', 'Sputnik V', 'Bharat', 'KhanSino', 'Chumakov', and 'VECTOR' in the order of the number of collected posts. The collected posts were analyzed manually and automatedly through keyword analysis, sentiment analysis, and topic modeling to understand the opinions for the investigated vaccines. According to the results, there were generally more negative posts about vaccines than positive posts. Anxiety about the aftereffects of vaccination and distrust in the efficacy of vaccines were identified as major negative factors for vaccines. On the contrary, the anticipation for the suppression of the spread of coronavirus following vaccination was identified as a positive social factor for vaccines. Different from previous studies that investigated opinions about COVID-19 vaccines through mass media data such as news articles, this study explores opinions of social media users using keyword analysis, sentiment analysis, and topic modeling. In addition, the results of this study can be used by governmental institutions for making policies to promote vaccination reflecting the social atmosphere.

• Journal of Korea Entertainment Industry Association
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• v.15 no.1
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• pp.143-152
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• 2021

The extremely isolated uninhabited island at the end of the West Sea in South Korea called "The Gyeokryeolbi Yeoldo" has recently begun to be managed by the government under the influence of public opinion demanding the island to be strictly protected. The island was created 70 million years ago by volcanic activities. So it is older than the birth history of Jeju Island, which is estimated to have been born about a million years ago. This study has focused on providing the basis for imagetelling and storytelling of the Gyeokryeolbi Yeoldo, known for its important value by exploring the cultural resources of the island. For the research, the ethnography including in-depth local interview and on-site investigation have been applied for 3 years from February 2018 to December 2020 in Taean, Chungnam Province, where the island is located. To analyze the cultural resources of this island, the resource classification model has been designed and used, which is modified from Valentine (2001) and Chi-ho Nam (2007). As a result, the "tangible cultural resources (TCR)" including various remains found on the island were mainly symbols of cultural bridge in the history of Korea-China exchange, and the spiritual land of life-saving. Also "intangible cultural resources (ICR)" extracted from the island were focused on the images of life protection, safety, bravery, and romance. Based on this study, the core concept of identity to be applied when refurbishing the island with a prominent cultural placeness( "sense of place") can be proposed as "a cultural ecological island centered on the Circular Yellow Sea that ruminates memories of love."

• Journal of the Korean Society of Floral Art and Design
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• no.44
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• pp.75-100
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• 2021

The purpose of this study is to explore ways in which the flower design industry can utilize podcasts that are rapidly growing in recent years. I selected foreign flower podcasts that are ranked on the global podcast chart, and examined the genre, content, components, show hosts and etc. By analyzing the characteristics of the podcast, the type of communication between the host and the audience, the audience interaction, the industry connection, and the media expansion strategy, I tried to derive the possibility of the flower podcast in Korea. As a result of analyzing foreign flower podcasts, podcasters built listener communities based on their rich experience and knowledge through podcasts and used them for education and marketing. They acted as leaders in the industry or led public opinion such as the sustainable flower industry. Podcast shows were repurposed as various content and used to spread flower design culture. In Korea, flower podcasts can be the basis for the formation of a community related to the flower design industry. Flower design experts can use podcasts as a source asset for various content. Listeners within the industry can get hands-on knowledge about the business from flower podcasts. The popular flower podcast will contribute to the vitalization of flower design culture and industry. Flower podcasts can be a starting point to actively cope with the era of personal media.