• Child Health Nursing Research
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• v.28 no.2
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• pp.112-123
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• 2022

Purpose: This study aimed to develop and evaluate a mobile application focusing on developmental support care for infants born prematurely. Methods: An application was developed using the analysis, design, development, implementation, and evaluation model. In the analysis phase, previous research was evaluated through big data text-mining and a literature review. In the design phase, the preliminary content of the application was designed, and the content validity and comprehension were verified. A hybrid application was developed and used by eight experts and ten users, who evaluated the layout of the mobile application and their satisfaction with it. Results: The content of the designed application comprised a diary, customized information, developmental play, and community. The mean scores for layout were 3.73±0.47 and 3.43±0.68 out of 4 points among the experts and users, respectively. Users' mean satisfaction score was 3.70±0.70 out of 5 points. Conclusion: The information provided by the mobile application was evaluated as consistent and systematic. The application was also found to be satisfactory by infants' parents. The mobile application developed through this study is expected to be effective in supporting the development of children born prematurely.

• East Asian Journal of Business Economics (EAJBE)
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• v.10 no.1
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• pp.71-81
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• 2022

Purpose - Foodservice production is predominantly susceptible to rampant calamities since it trusts on social gatherings and interactions. This research aims to elaborate a brief framework of the literature review on the research conducted for the Coronavirus outburst regarding the food service sector. Research design, Data, and methodology - The method used in research involving interpretation of the subject content in a text data through a systematic process of classification to identify the themes and coding is referred to as the qualitative content analysis. It can also be defined as a useful research approach method of analysis instead of an empirical analysis. Result - Based on ultimate systematic literature analysis, the author figured out that the vendors should be given importance to the digital traveling interventions as the shortest factor in foodservice processing firms. Designing new sources of revenue and implementing numerous canceled regulations are other resolution that helps challenges in food service industries Conclusion - The Coronavirus pandemic has affected the foodservice business leading to the permanent closure of some businesses. There is a need for a stimulus package from the state to revive these businesses since they play a great role in the economy's growth and are regarded as part of the economy, and most of their activity is undocumented.

• Journal of English Language & Literature
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• v.56 no.6
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• pp.1027-1045
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• 2010

What does an Irish modernist have in common with a contemporary Canadian classicist? The present paper attempts an unlikely comparison to bring out previously unnoticed facets of meaning by analyzing James Joyce's Ulysses (1922) and Anne Carson's Autobiography of Red: A Novel in Verse (1998) together. While Joyce and Carson write at different times and in different places, I suggest that they are also remarkably similar. First, both of these authors can be said to have re-invented the genre of the novel in the two aforementioned works. Second, they both set themselves the task of re-writing a Greek text, in Joyce's case Homer's Odyssey, in Carson's case Stesichoros's Geryoneis, transferring it to their own present reality. The focus of the article is to read Ulysses and Autobiography of Red together in light of their engagement with colonialism. This concept is central to both novels, as literary critics have noted. However, rather than examining the concept in the traditional sense, I use it as a platform to examine the roles that sociolinguistic colonialism, and what I call literary colonialism, play in these two innovative and groundbreaking novels. Finally, I analyze the ways in which these authors position themselves against the tradition. Comparing works by Carson and Joyce allows me to arrive at conclusions that transcend their time and apply to humanity in general.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.17 no.9
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• pp.2334-2347
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• 2023

Metaverse services generate text data, data of ubiquitous computing, in real-time to analyze user emotions. Analysis of user emotions is an important task in metaverse services. This study aims to classify user sentiments using deep learning and pre-trained language models based on the transformer structure. Previous studies collected data from a single platform, whereas the current study incorporated the review data as "Metaverse" keyword from the YouTube and Google Play Store platforms for general utilization. As a result, the Bidirectional Encoder Representations from Transformers (BERT) and Robustly optimized BERT approach (RoBERTa) models using the soft voting mechanism achieved a highest accuracy of 88.57%. In addition, the area under the curve (AUC) score of the ensemble model comprising RoBERTa, BERT, and A Lite BERT (ALBERT) was 0.9458. The results demonstrate that the ensemble combined with the RoBERTa model exhibits good performance. Therefore, the RoBERTa model can be applied on platforms that provide metaverse services. The findings contribute to the advancement of natural language processing techniques in metaverse services, which are increasingly important in digital platforms and virtual environments. Overall, this study provides empirical evidence that sentiment analysis using deep learning and pre-trained language models is a promising approach to improving user experiences in metaverse services.

• Smart Media Journal
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• v.12 no.10
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• pp.38-46
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• 2023

Farming activities are transforming from traditional skill-based agriculture into knowledge-based and technology-driven digital agriculture. The use of intelligent information and communication technology introduces the idea of smart farming that enables farmers to collect weather data, monitor crop growth remotely and detect crop diseases easily. The introduction of Plantix, a pest and disease management tool in the form of a mobile application has allowed farmers to identify pests and diseases of the crop using their mobile devices. Hence, this study collected the reviews of Plantix to explore the response of the users on the Google Play Store towards the application through Latent Dirichlet Allocation (LDA) topic modeling. Results indicate four latent topics in the reviews: two positive evaluations (compliments, appreciation) and two suggestions (plant options, recommendations). We found the users suggested the application to additional plant options and additional features that might help the farmers with their difficulties. In addition, the application is expected to benefit the farmer more by having an early alert of diseases to farmers and providing various substitutes and a list of components for the remedial measures.

• Korean Journal of Childcare and Education
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• v.20 no.2
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• pp.59-81
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• 2024

Objective: This study aims to explore the intra-action between infants and picture book reading in a daycare setting, aiming to gain new insight into infants' reading experiences. Methods: The participants in the study were 12 infants from the Bluebird Class (1-year-old) at A Daycare Center. To comprehensively examine the context and flow of the infants' experiences, participant observation was conducted during free play sessions, held three to five times a week, in the morning, from December 19, 2022, to February 17, 2023. Results: Firstly, infants engaged in the intra-action with symbols such as text, images, lines, colors, and latent narratives in picture books, spontaneously encountering meaning-making. Secondly, they explored the potential of materials such as their own bodies, the dacare classroom environment, and blocks, creating narratives through the process of 'becoming'. Thirdly, infants generated shared experiences by creating interactions within their relationships with others in the daycare class. Conclusion/Implications: This study highlights a shift in perspective, recognizing infants as active readers who construct their own understanding. Additionally, it underscores the significance of cultivating an infant-centered environment and the meaningful role of teachers in supporting and facilitating such an environment.

• Asia pacific journal of information systems
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• v.33 no.2
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• pp.282-297
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• 2023

One of the emerging trends in the marketing field is digital video marketing. Online videos offer rich content typically containing more information than any other type of content (e.g., audible or textual content). Accordingly, previous researchers have examined factors influencing videos' popularity. However, few studies have examined what causes a video to remain popular. Some videos achieve continuous, ongoing popularity, while others fade out quickly. For practitioners, videos at the recommendation slots may serve as strong communication channels, as many potential consumers are exposed to such videos. So,this study will provide practitioners important advice regarding how to choose videos that will survive as long-lasting favorites, allowing them to advertise in a cost-effective manner. Using deep learning techniques, this study extracts text from videos and measured the videos' tones, including factual and emotional tones. Additionally, we measure the aesthetic score by analyzing the thumbnail images in the data. We then empirically show that the cognitive features of a video, such as the tone of a message and the aesthetic assessment of a thumbnail image, play an important role in determining videos' long-term popularity. We believe that this is the first study of its kind to examine new factors that aid in ensuring a video remains popular using both deep learning and econometric methodologies.

• Journal of the Korean Institute of Landscape Architecture
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• v.47 no.4
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• pp.33-49
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• 2019

The purpose of this study was to investigate the changes in the experiences of visitors of Yeonnam-dong during the period covering the development of a linear park, the Gyeongui Line Park. This study used a text mining technique to analyze Naver Blog postings of those who visited Yeonnam-dong from June 2013 to May 2017, divided into four periods -from June 2013 to May 2014, from June 2014 to May 2015, from June 2015 to May 2016 and from June 2016 to May 2017. The keywords used were 'Yeonnam-dong', 'Gyeongui Line' and 'Yeontral Park' and the data was further refined and resampled. A semantic network analysis was conducted on the basis of the co-occurrences of words. The results of the study were as follows. During the entire period, the main experience of visitors to Yeonnam-dong was 'food culture' consistently, but the activities related to 'market', 'browsing', and 'buy' increased. Also, activities such as 'walk', 'play' and 'rest' in the park newly appeared after the construction of the park. Moreover, more diverse opinions about the Yeonnam-dong were expressed on the blog, and Yeonnam-dong began to be recognized as a place where a variety of activities can be enjoyed. Lastly, when the visitors wrote about the theme 'food culture', the scope of the keywords expanded from simple ones, such as 'eat', 'photograph' and 'chatting' to 'market', 'browsing', and 'walk'. The sub-themes that appeared with the park also expanded to various topics with the emergence of the Gyeongui Line Book Street. This study analyzed the change of experiences of visitors objectively with text mining, a quantitative methodology. Due to the nature of text mining, however, the subjective opinions inevitably have been involved in the process of refining. Also, further research is required to assess the direct relationship between these changes and park construction.

• Cartoon and Animation Studies
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• s.15
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• pp.29-47
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• 2009

The changes in the field of high tech media promote the development of animation films, which was considered once as a decaying industry. A large success of Disney animation films in 1980's and the possibilities of animation as an economically profitable mass products allowed this art form to play a leading role in mass culture. But, the cultural and philosophical aspects of animation works are not studied enough up to this time, despite its importance. This article is focused on the study of animation as a serious cultural and philosophical text. The object of research is the Russian animation in the period of 1960-1980 years. In this time, new trends are noticed in the history of Russian animation : aesthetical experiments in style and subjects became possible since the society freed from totalitarian atmosphere after the political destalinization by Khrushchev. In addition to, it was the time when the system of state subsidies still functioned, that animation was not the object of cultural industry yet, as it happened in the period of Perestroika. In this condition, lots of short animation films, which were remarkable not only in the context of Soviet art culture, but also in the history of world animation films, were produced. This article proposes to analyze the characteristics of realities and fantasy, portrayed in the films of this period, and examine the role and status of animation films in the social-cultural context.

• The Journal of Society for e-Business Studies
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• v.18 no.2
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• pp.95-110
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• 2013

This paper presents a novel feature engineering technique that can improve the conventional machine learning-based text classification systems. The proposed method extends the initial set of features by using hyperlink relationships in order to effectively categorize hypertext web documents. Web documents are connected to each other through hyperlinks, and in many cases hyperlinks exist among highly related documents. Such hyperlink relationships can be used to enhance the quality of features which consist of classification models. The basic idea of the proposed method is to generate a sort of ed concept feature which consists of a few raw feature words; for this, the method computes the semantic similarity between a target document and its neighbor documents by utilizing hierarchical relationships in the WordNet ontology. In developing classification models, the ed concept features are equated with other raw features, and they can play a great role in developing more accurate classification models. Through the extensive experiments with the Web-KB test collection, we prove that the proposed methods outperform the conventional ones.