• Journal of the Korean Home Economics Association
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• v.36 no.11
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• pp.157-182
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• 1998

The primary goal of this study is to identify disintegration and reconstruction of the family/kinship structure in the rapidly industrializing urban area, Seoul. For this purpose, detailed data about (1) the value related to the family and kinship (2) the family relationship, especially marital relationship (3) the attitude of divorce and remarriage (4) the characteristics of the social network (5) the family/kin rites and attitude about the rites are gathered. A total of 716 subjects completed structured questionnaires. Major conclusions of the study are as follows: Firstly, most of the respondents are found not to support familism and boy preference, and they show an ambivalence about the child value analyzed by concepts of the cost and reward. Secondly, most of the respondents perceive that marital relationship has been changed toward the direction of increased relative importance of wives' opinion in the decision making process within the family. However, they believe that husbands still have more power than their wives. Respondents also believe that parents have more power than their children. Thirdly, most of the respondents view divorce as an altemative to unhappy marriage. It was also shown that relatively few have negative attitude toward remarriage. Fourthly, the social network of the respondents is characterized by two distinct trends, namely, strong parent-child ties and narrowed kin relationship. Fifthly, the urbanization and the introduction of western life style have disrupted the traditional rites of passage. But ancestral rites serve to confirm family ties, especially the gathering of siblings to perform ancestral rites for parents. Therefore foreign element exist in parallel with pre-existing traditional elements.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.41 no.3
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• pp.129-137
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• 2018

VOCs have been used as the most definitive resource to reflect customer feedback when developing products and services. However, due to the development of the Internet and the emergence of SNS, VOC is no longer the only channel that represents customer opinions. There are also a number of studies showing that many customers express complaints through channels other than VOCs. In this paper, we analyze the difference between the official VOC data and the data collected through the external channel, and suggest ways to reflect the various opinions of customers. To do this, this study uses keyword analysis that can identify differences according to frequency through social network, modular analysis to distinguish topics according to centrality and similarity, and emotional analysis to confirm word polarity (positive and negative). The results of this study show that the opinions of the customers were different depending on channels such as VOCs and external channels. Therefore, the collected data through VOC as well as external channels should be used in order to reflect the opinions of customers. In particular, this paper confirms that the results of one channel may vary depending on the channel characteristics even for the same channel. This confirms that collecting voc only on certain channels may differ from what real customers require. Therefore, data collected through VOCs as well as external channels must be used to reflect various customer feedback.

• Korea journal of population studies
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• v.25 no.1
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• pp.213-256
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• 2002

A woman faced with choices regarding contraception has several sources of information which may influence her decision Among these are other women's ideas as well as their reported behavior. Applying a two-stage econometric model to data on married women taken from a study of Korean social networks. this Paper assesses the relative impacts of the two information sources above. In addition, this Paper (1 ) considers the role of social and opinion leadership in the impact of a family Planning Program by Postulating two different social influence factors, (2) explores which types of social network contacts most significantly amplify the impact of the family Planning program, and (3) discusses the effects of two types of family Planning Program efforts: the inputs of family planning field workers, and the use of indigenous women's groups.

• International Journal of Computer Science & Network Security
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• v.21 no.8
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• pp.137-140
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• 2021

The article is devoted to the study of the issue of liability for the dissemination of inaccurate information on the Internet. The article emphasizes that now the public opinion of socially active segments of the population is mainly formed on the basis of not critical but subjective ("consumer") analysis of the received information. The modern realities show that the main source of its origin is the Internet: electronic media and, above all, the relevant social networks. The problem of dissemination by the mass media of inaccurate information obtained via the Internet is solved; it is seen in bringing the laws of Ukraine, which regulate public relations regarding the dissemination of information, into compliance with the Civil Code of Ukraine. The issues of development and implementation of new legislative acts aimed at regulating the status of subjects of informational relations on the Internet and establishing the grounds for their liability are also investigated.

• International Journal of Computer Science & Network Security
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• v.21 no.12spc
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• pp.483-490
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• 2021

The COVID-19 pandemic has posed significant community challenges towards higher education around the world. The urgent and unexpected request for full-time university courses to switch over to online teaching was a particular challenge. Online learning and learning imply a certain pedagogical knowledge content (PKC), mainly related to the design and organization for better learning and the creation of unique learning environments using digital technologies. With the help of the present academic paper, we provide some expert opinion on the PKC connected with online learning with the aim of helping non-university professionals (that is, those with lack of online learning experience) navigate these challenging times. Our findings point to the planning of learning activities with certain features, a combination of three types of presence (social, cognitive and facilitative) and the need to adapt the assessment system to new learning requirements. We will conclude by contemplating on how responding to a crisis can improve teaching and learning practices in the post-digital era.

• Journal of the Regional Association of Architectural Institute of Korea
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• v.21 no.5
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• pp.109-116
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• 2019

The Seoul city recommended that old apartments be preserved, and as part of that, it decided to preserve some of the buildings for Jamsil Jugong, which was built in 1977, and Gaepo Jugong, which was constructed in 1981. The purpose of this study was to compare and review newspaper articles with two perspectives positive and negative about how the social perception of 'apartment trace remaining' was being constructed. By looking at the meaning of keywords delivered by newspaper articles and the interaction structure between keywords through the analysis of semantic networks, we analyzed how the media is pursuing an issue on the topic of preservation of architectural cultural heritage. The analysis results confirmed that there was a clear difference between positive and negative newspaper. Positive articles dealt with utilization from the point of view of keywords linked to preservation, and negative articles showed that keywords related to the property and backlash of residents linked to the policy of the Seoul Metropolitan Government were linked, leading to high negative public opinion.

• International Journal of Computer Science & Network Security
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• v.22 no.1
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• pp.39-48
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• 2022

Today the regulation of socio-economic development has been the subject of active scientific debate. The modern paradigm of regulatory policy in foreign countries involves a change in the role and strategy of the state, which determines the relevance of this topic. The aim of the article is to study the current state of regulatory policy research. The article is based on a bibliographic analysis of the study of regulatory policy. The study is based on the data search functions of the Scopus platform. It uses a set of VOSviewer program, online visualization of keywords in the titles of scientific journals and citations of publications. The study led to the conclusion that the number of publications that directly study the nature and features of regulatory policy is insignificant, but constantly growing. In our opinion, further research should determine the essence of regulatory policy as a separate category, a description of its features and factors of formation. It is also necessary to develop a common concept that governments should be actively involved in ensuring the quality of regulation, rather than responding to the shortcomings of regulation, which is evolving into regulatory governance.

• International Journal of Computer Science & Network Security
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• v.23 no.2
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• pp.13-30
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• 2023

Since the COVID-19 vaccine became available, people have been sharing their opinions on social media about getting vaccinated, causing discussions of the vaccine to trend on Twitter alongside certain events, making the website a rich data source. This paper explores people's perceptions regarding the COVID-19 vaccine during certain events and how these events influenced public opinion about the vaccine. The data consisted of tweets sent during seven important events that were gathered within 14 days of the first announcement of each event. These data represent people's reactions to these events without including irrelevant tweets. The study targeted tweets sent in Arabic from users located in Saudi Arabia. The data were classified as positive, negative, or neutral in tone. Four classifiers were used-support vector machine (SVM), naïve Bayes (NB), logistic regression (LOGR), and random forest (RF)-in addition to a deep learning model using BiLSTM. The results showed that the SVM achieved the highest accuracy, at 91%. Overall perceptions about the COVID-19 vaccine were 54% negative, 36% neutral, and 10% positive.

• International Journal of Computer Science & Network Security
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• v.23 no.9
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• pp.120-128
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• 2023

In this work, we have presented ATSA, a hierarchical attention deep learning model for Arabic sentiment analysis. ATSA was proposed by addressing several challenges and limitations that arise when applying the classical models to perform opinion mining in Arabic. Arabic-specific challenges including the morphological complexity and language sparsity were addressed by modeling semantic composition at the Arabic morphological analysis after performing tokenization. ATSA proposed to perform phrase-chunks sentiment embedding to provide a broader set of features that cover syntactic, semantic, and sentiment information. We used phrase structure parser to generate syntactic parse trees that are used as a reference for ATSA. This allowed modeling semantic and sentiment composition following the natural order in which words and phrase-chunks are combined in a sentence. The proposed model was evaluated on three Arabic corpora that correspond to different genres (newswire, online comments, and tweets) and different writing styles (MSA and dialectal Arabic). Experiments showed that each of the proposed contributions in ATSA was able to achieve significant improvement. The combination of all contributions, which makes up for the complete ATSA model, was able to improve the classification accuracy by 3% and 2% on Tweets and Hotel reviews datasets, respectively, compared to the existing models.

• International Journal of Computer Science & Network Security
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• v.24 no.2
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• pp.143-149
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• 2024

The role of social networking mobile applications such as WhatsApp in enhancing second language vocabulary learning among English language learners continues to be a subject of interest for many scholars. The current study aimed at examining medical English vocabulary learning among undergraduate students using WhatsApp compared to learning vocabulary via the Blackboard platform during the Covid-19 pandemic. To this end, 108 medical students (51 males, 57 females) enrolled in a first semester English for a specific English course participated in the study. A quasi-experimental design was adopted for two groups. Fifty-three students participated in the WhatsApp group and 55 students formed the Blackboard group. A pretest-posttest design was employed to collect data. Results of t-test scores did not show a significant difference between the WhatsApp and Blackboard groups on a vocabulary test. Results of a survey that measured students' opinion of the use of WhatsApp as a platform for learning new vocabulary showed positive perceptions since participants thought that WhatsApp enhanced their learning experience.