• Journal of the Korean earth science society
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• v.32 no.1
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• pp.84-98
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• 2011

The study investigated the linguistic characteristics of middle school students' writing on the themes of earth science through analysis of its genre and register. Data for analysis included $7^{th}$ grade and $9^{th}$ grade students' writings about 'global warming' and 'classification of rocks'. The results of this study include: First, many students were not accustomed to writing in genre, especially exposition genre. Second, in terms of ideational meaning, the material verbs representing action or doing were more dominant than relational verbs that are related to the attribute or definition of things, and additional logical relations were predominant. Third, regarding interpersonal meaning, agents, emotions, subjective opinions appeared in the writings and students did not express their ideas conclusively and revealed feelings of doubt and uncertainty about their knowledge. Fourth, as for textual meaning, most students listed fragments of information using additional conjunctions in simple structures and were not accustomed to writing texts with organizing structures, logical patterns, cohesion, and coherence. From these results, we argued that the scientific writings should be emphasized in science learning that aims to foster scientific literacy. In addition, we discussed the necessity of improving science teachers' perceptions on scientific writing as well as setting up a specific plan in the national curriculum.

• The Korean Journal of Applied Statistics
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• v.30 no.4
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• pp.603-613
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• 2017

Many people have recently posted about personal interests on social media. The development of the Internet and computer technology has enabled the storage of digital forms of documents that has resulted in an explosion of the amount of textual data generated; subsequently there is an increased demand for technology to create valuable information from a large number of documents. A text mining technique is often used since text-based data is mostly composed of unstructured forms that are not suitable for the application of statistical analysis or data mining techniques. This study analyzed the Meteorological Yearbook data of the Korea Meteorological Administration (KMA) with a text mining technique. First, a term dictionary was constructed through preprocessing and a term-document matrix was generated. This term dictionary was then used to calculate the annual frequency of term, and observe the change in relative frequency for frequently appearing words. We also used regression analysis to identify terms with increasing and decreasing trends. We analyzed the trends in the Meteorological Yearbook of the KMA and analyzed trends of weather related news, weather status, and status of work trends that the KMA focused on. This study is to provide useful information that can help analyze and improve the meteorological services and reflect meteorological policy.

• Journal of KIISE:Databases
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• v.37 no.3
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• pp.127-136
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• 2010

With rapid growth of information and computer communication technologies, the numbers of digital documents including multimedia data have been recently exploded. In particular, news video database and news video mining have became the subject of extensive research, to develop effective and efficient tools for manipulation and analysis of news videos, because of their information richness. However, many research focus on browsing, retrieval and summarization of news videos. Up to date, it is a relatively early state to discover and to analyse the plentiful latent semantic knowledge from news videos. In this paper, we propose the news video mining system based on multi-modal approach and text mining, which uses the visual-textual information of news video clips and their scripts. The proposed system systematically constructs a taxonomy of news video stories in automatic manner with hierarchical clustering algorithm which is one of text mining methods. Then, it multilaterally analyzes the topics of news video stories by means of time-cluster trend graph, weighted cluster growth index, and network analysis. To clarify the validity of our approach, we analyzed the news videos on "The Second Summit of South and North Korea in 2007".

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.16 no.7
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• pp.2169-2190
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• 2022

The COVID-19 pandemic has affected many aspects of human life. The pandemic not only caused millions of fatalities and problems but also changed public sentiment and behavior. Owing to the magnitude of this pandemic, governments worldwide adopted full lockdown measures that attracted much discussion on social media platforms. To investigate the effects of these lockdown measures, this study performed sentiment analysis and latent Dirichlet allocation topic modeling on textual data from Twitter published during the three lockdown waves in Malaysia between 2020 and 2021. Three lockdown measures were identified, the related data for the first two weeks of each lockdown were collected and analysed to understand the public sentiment. The changes between these lockdowns were identified, and the latent topics were highlighted. Most of the public sentiment focused on the first lockdown as reflected in the large number of latent topics generated during this period. The overall sentiment for each lockdown was mostly positive, followed by neutral and then negative. Topic modelling results identified staying at home, quarantine and lockdown as the main aspects of discussion for the first lockdown, whilst importance of health measures and government efforts were the main aspects for the second and third lockdowns. Governments may utilise these findings to understand public sentiment and to formulate precautionary measures that can assure the safety of their citizens and tend to their most pressing problems. These results also highlight the importance of positive messaging during difficult times, establishing digital interventions and formulating new policies to improve the reaction of the public to emergency situations.

• Cartoon and Animation Studies
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• s.37
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• pp.335-360
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• 2014

An infatuation with webtoons is facilitated by the ultra-rapid internet infrastructures and the highest ratio of penetration of smartphones in the world. Recently, the webtoon has been the focus of a new cultural content and its development has been noticed both and home and abroad. This study aims to find the new role of webtoon as a socio-cultural communication media. The webtoon reflects the reality as it is and shows directly and minutely the social problems, even although the other media make it glorified or reduced. We observe the role of webtoon as a new communication media content that can make the place for social discussion within several generations and social stratums, in which the producer and the consumer can communicate directly and immediately. Two webtoons( and ) have been selected for a textual analysis. In two webtoons, we analyse the method of representation of the social problem in the technique of expression and storytelling. This helps us maintain that the webtoon deserves as the socio-cultural communication media and the social problems represented in webtoon must have been evaluated more valuable in a new perspective.

• Broadcasting and Media Magazine
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• v.10 no.1
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• pp.99-112
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• 2005

Christian Metz, the precursor of cine-semiology, considered cinema as a language in the sense that it is a set of messages grounded in a given matter of expression, and a signifying practice characterized by specific codifications. According to Metz, film forms a structured network produced by the interweaving of cinematic codes, within which cinematic subcodes represent specific usages of the particular code. For Metz, cinematic language is a totality of cinematic codes and subcodes, and history of the cinema is the trace of the competition, incorporations and exclusions of the subcodes. He also suggested a filmic text is not just a list of codes in effect, but a process of constant displacement and deformation of codes. Following Metz' textual analysis methodology, I investigated the formal configuration of Hayao Miyazaki‘s animation, Spirited Away. It is interesting to trace the interweaving of cinematic codes in Spirited Away, i.e. codes of lighting, color, movement, and auteurism, across the animation. I focused on the first scene at the bridge to Yubaba's bathhouse, analyzing each cinematic code and its subcode applied. The first bridge scene is carefully constructed to stand out the confrontation of Chihiro (with Haku) and the bathhouse. The bathhouse is not just a building, it represents the powerful witch, Yubaba, yet to appear on the scene, and functions as an antipode to Chihiro. In each shot, every subcode within the codes of framing, direction, angle, color, lighting and movement is used to maximize the contrast between the dominant bathhouse and the feeble 10-year-old girl. In Spirited Away, the subcodes within each cinematic ode are constantly competing and displacing each other to augment the antithesis between the characters and develop the narrative. As Metz's argument that film constitutes a quasi-linguistic practice as a pluricodic medium, Spirited Away communicates with the spectators with the combination and displacement of these cinematic codes and subcodes.

• Journal of Korean Elementary Science Education
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• v.35 no.1
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• pp.26-38
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• 2016

The purpose of this study was to grasp the characteristics of composition regarding the material-centered integrated unit of environmental and natural studies, a science subject in Finland, to investigate a need for applying the material-centered integrated unit to the science curriculum of Korea. For the purpose, the study made an analysis on contents, inquiry activities, and visual materials (the most important in the elementary science curriculum and textbook composition), and it brought following results: First, as a result of analyzing the area of contents, the bicycle material-centered integrated unit comprised a large proportion of 44 pages (25.3%) of the whole 174 pages from the environmental and natural studies textbook for the third grade. The contents included such various concepts as traffic rules, safety, environmental protection and pollution, recycling and separate collection, tubes and triangular structures, wedges and screws, leverage, wheels, axles, gears, elasticity (spring), friction, and so on. Second, as a result of analyzing contents related to the thinking ability of inquiry activities, "expecting or confirming expectations" and "application" are included in every lesson, and one lesson is composed in such a way that students can study on bicycles as a practical material for their daily life and they can improve various thinking abilities. Third, as a result of analyzing the circumstances of inquiry activities, daily circumstances made up eight lessons (80.0%) and technical and social circumstances made up two lessons (20.0%) by focusing on bicycles, a material related to students' daily life. Fourth, as a result of analyzing visual materials, the percentage of pictures and photos was high at 53.4% and 45.2% respectively. As a result of analyzing the role of visual materials, the percentage of the illustrative role and explanatory-complementary role was high at 52.1% and 47.9% respectively. Lastly, as a result of analyzing from the epistemological view to interpret the relation between visual materials and students and the position of visual materials, the visual textbook materials were provided toward a way that students can decrease their feeling of epistemological separation in the three fields of ideational metafunction, interpersonal metafunction, and textual metafunction.

• Cross-Cultural Studies
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• v.43
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• pp.327-354
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• 2016

Rimbaud's prose poem, Barbare in Illuminations, is known for its abstruseness with regard to forms, themes, metaphors. This paper first analyzes the poem's grammatical structure to make sense of such an inscrutable piece of work, then discusses its autotextuality in order to decipher its meaning by comparison with Rimbaud's other works. Autotextuality, a method of literary interpretation of Rimbaud's prose poem presented by Steve Murphy, refers to the intertextuality between the author's works. Despite some previous researches focusing on the intertextuality of Barbare, previous authors have failed not only to find its meaning but also to determine its significance. The abstruseness of Rimbaud's Barbare is sometimes considered an example of the meaningless of Rimbaud's work. However, examining the textual structure and the autotextuality builds meaning, rather than rendering the work meaningless. Barbare which consists entirely of noun phrases and metaphors means destruction, fusion and the pure power of regeneration in the original context of Rimbaud's work. This poem is Rimbaud's answer to Baudelaire's poetic question, Any of where out of World, and presents a strange scenery that uses 'the eternal female voice' to reach the Vulcan in the North Pole. Interpretation of Barbare could provide a methodology for reading the difficult Illuminations. The kind of analyses used are, for example, analysis of the text, analysis of verbal indicators, autotextuality, and an understanding of the joy and the solitude in the silence of the poem. Understanding Barbare may provide a method of interpreting the abstruseness of Illuminations. Through this approach, we can connect and combine every fragment of the Illuminations, so that we can reconstruct the story and the adventure contained therein.

• KIPS Transactions on Software and Data Engineering
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• v.13 no.1
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• pp.35-49
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• 2024

Video captioning technology, as a significant outcome of the integration between computer vision and natural language processing, has emerged as a key research direction in the field of artificial intelligence. This technology aims to achieve automatic understanding and language expression of video content, enabling computers to transform visual information in videos into textual form. This paper provides an initial analysis of the research trends in deep learning-based video captioning and categorizes them into four main groups: CNN-RNN-based Model, RNN-RNN-based Model, Multimodal-based Model, and Transformer-based Model, and explain the concept of each video captioning model. The features, pros and cons were discussed. This paper lists commonly used datasets and performance evaluation methods in the video captioning field. The dataset encompasses diverse domains and scenarios, offering extensive resources for the training and validation of video captioning models. The model performance evaluation method mentions major evaluation indicators and provides practical references for researchers to evaluate model performance from various angles. Finally, as future research tasks for video captioning, there are major challenges that need to be continuously improved, such as maintaining temporal consistency and accurate description of dynamic scenes, which increase the complexity in real-world applications, and new tasks that need to be studied are presented such as temporal relationship modeling and multimodal data integration.

• Journal of the Korean earth science society
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• v.31 no.1
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• pp.51-62
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• 2010

The purpose of this study was to investigate how a science magazine played a role in filling the gap between scientists and the general public, and how it contributed to science popularization. We analyzed the linguistic features of the texts used in a science magazine. We used 12 articles (six written by journalists, and six written by scientists) from the Science Donga. Register analysis was conducted in order to define the linguistic features of the texts in terms of ideational meaning, interpersonal meaning and, textual meaning. Results of this study are as follows: (1) the articles written by journalists used a higher mental and verbal processes in which the conversations and thoughts of scientists were expressed. (2) Human agents were relatively explicit in the journalists' articles. However, they were implicit or omitted in the articles of scientists. (3) Interrogative sentences and inclusive imperative sentences, and even omissions were frequently found in the journalists' articles whereas scientists' articles mainly used declarative statements. (4) The clause density of journalist' articles and scientists' were similarly lower than that of science textbooks. (5) The information structure revealed by the patterns of Theme and Rheme that the journalists' articles used in science magazines was simpler than that of science textbooks, while the structure of scientists' articles was more complex than that of journalists'. Based on the linguistic features of the texts used in science magazines, we found that a science magazine contributes to science popularization in two faces: One is in that the articles of journalists present science contents in a way that the readers can follow with ease and feel well-acquainted. The other is that the modified articles of scientists help the general public get familiar with the culuture of science in terms of use of science language.