• Journal of English Language & Literature
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• v.56 no.4
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• pp.575-596
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• 2010

The modes of narratives and communication have expanded due to social and cultural changes and technological development. Thus texts have become multimodal and media hybridities and media crossover have been increasing as well. Multimodality requires new literacy to understand and interpret those multimodal texts other than existing traditional literacy approaches. The New London Group (2000) argues that multiliteracies are needed to serve today's changing multimodal texts. Kress (2003) also argues, visual texts have been prevailing, being mingled with other modes of texts such as linguistic, audio, gestural, and spatial modes. Literary texts are not exception in this trend of multimodality. The recent renaissance of comics, in particular, the new light on graphic novels can be interpreted in this historical vein. In comparison to comics, no consensus has been made in defining graphic novels, however, many studies have been recently conducted in order to look into the potential of graphic novels in building multiliteracies. In this paper, the graphic novel as a literary genre are explored from a histocial perspective and the definition of graphic novels was attempted to be made. In the light of multiliteracies, this paper presented cases that show how graphic novels can be utilized to build multiliteracies. Lastly, the use of graphic novels for English as a foreign language was introduced as well. The author hopes that at the age of multimodality, the potential graphic novels have in language and literacy education can be taken into account by language teachers and students in expanding their territory of literacy.

• Journal of Korean Classical Literature and Education
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• no.16
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• pp.5-27
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• 2008

It is not a simple topic how let the modern readers read the past literature in the these days of digital. But even though the changes of the times, we must not let 'the paper-books(the thing written with letters)' disappear because of 'the audio-visual texts(the thing made with digital media as drama-opera, animated cartoon, animated image)'. The Electronic medias should be used so as helping for us to understand contents of the paper-books. Because of them, the paper-books must not be expelled. It is no need certainly for the reading materials to be made with Paper-books. For example, the electronic-books in order to read also would not become problems. Moreover, the electronic-books to be made with various electronic media can also provide the audio-visual materials for readers well to understand contents of the books. For that reason, the electronic-books would be helped to read effectively. Besides after reading the original texts, the readers to try the 'rewriting', with using the meanings for oneself to get from the texts would be able to make a synopsis or story-telling for other art performances. These works are things positively to be stimulated, because of giving the achievement motivations to the readers. To conclude, the audio-texts reading and the visual-texts reading should be developed so that the paper-books to be revitalize. And though the modern readers dislike to read the paper-books, We should try to make the audio-visual texts base on the paper-books. Therefore the paper-books and audio-visual texts are inter-complementary relationships, not competitive relationships.

• International Journal of Computer Science & Network Security
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• v.22 no.8
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• pp.87-96
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• 2022

This paper employs a computer-aided text analysis (CATA) and a Critical Discourse Analysis (CDA) to explore the strategies of recruitment and intellectual polarization in ISIS (Islamic State in Iraq and Syria) media. The paper's main objective is to shed light on the efficacy of employing computer software in the linguistic analysis of texts, and the extent to which CATA software contribute to deciphering hidden meanings of texts as well as to arrive at concise and authentic results from these texts. More specifically, this paper attempts to demonstrate the contribution of CATA software represented in the two variables of Frequency Distribution Analysis (FDA) and Content Analysis (CA) in decoding the strategies of recruitment and intellectual polarization in one of ISIS 's digital publication: Rumiyah (a digital magazine published by ISIS). The analytical focus is on three strategies of recruitment and intellectual polarization: (i) lexicalization, (ii) intertextual religionisation, and (iii) justification. Two main findings are revealed in this study. First, the application of CATA software into the linguistic investigation of texts contributes effectively to the understanding of the thematic and ideological messages pertaining to the analyzed text. Second, the computational analysis guarantees concise, credible, authentic and ample results than is the case if the analysis is conducted without the work of computer software. The paper, therefore, recommends the integration of CATA software into the linguistic analysis of the various types of texts.

• Journal of the Korea Fashion and Costume Design Association
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• v.22 no.3
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• pp.49-61
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• 2020

This study analyzed the social media accounts and performed a Big Data analysis of Z-generation fashion using Textom Text Mining Techniques program and Ucinet Big Data analysis program. The research results are as follows: First, as a result of keyword analysis on 67.646 Z-generation fashion social media posts over the last 5 years, 220,211 keywords were extracted. Among them, 67 major keywords were selected based on the frequency of co-occurrence being greater than more than 250 times. As the top keywords appearing over 1000 times, were the most influential as the number of nodes connected to 'Z generation' (29595 times) are overwhelmingly, and was followed by 'millennials'(18536 times), 'fashion'(17836 times), and 'generation'(13055 times), 'brand'(8325 times) and 'trend'(7310 times) Second, as a result of the analysis of Network Degree Centrality between the key keywords for the Z-generation, the number of nodes connected to the "Z-generation" (29595 times) is overwhelmingly large. Next, many 'millennial'(18536 times), 'fashion'(17836 times), 'generation'(13055 times), 'brand'(8325 times), 'trend'(7310 times), etc. appear. These texts are considered to be important factors in exploring the reaction of social media to the Z-generation. Third, through the analysis of CONCOR, text with the structural equivalence between major keywords for Gen Z fashion was rearranged and clustered. In addition, four clusters were derived by grouping through network semantic network visualization. Group 1 is 54 texts, 'Diverse Characteristics of Z-Generation Fashion Consumers', Group 2 is 7 Texts, 'Z-Generation's teenagers Fashion Powers', Group 3 is 8 Texts, 'Z-Generation's Celebrity Fashions' Interest and Fashion', Group 4 named 'Gucci', the most popular luxury fashion of the Z-generation as one text.

• SUVANNABHUMI
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• v.16 no.1
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• pp.125-143
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• 2024

Korean dramas, commonly referred to as Koreanovelas or K-Dramas in the Philippines, have significantly influenced and reshaped Philippine television culture since the early 2000s. Their impact persists in contemporary television programming, reflecting the transnational flow of media texts across borders. As media content transcends geographical boundaries, local media companies have adopted the practice of producing adaptations of foreign television series for their audiences. This paper examines the adaptation of the Koreanovela The World of the Married into the Philippine series The Broken Marriage Vow, both of which are adaptations derived from the British show Doctor Foster. Through this comparative analysis, I argue that the process of localizing these television shows to suit the preferences of the target audience serves as a tangible manifestation of transnational adaptation. Particularly in an era of globalization, where entertainment is still a thriving enterprise, thus traversing international borders, this phenomenon demonstrates the evolving nature of television content as it adapts and caters to diverse cultural contexts let alone a profitable means to generate an ailing entertainment industry, especially in the time of the pandemic.

• The Journal of the Korea Contents Association
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• v.11 no.6
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• pp.385-396
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• 2011

Internet web pages can be classified by three major types such as texts only, images with texts and videos with texts. The purpose of this paper is to analyze how customers recognize and respond perspective of perceived risk and media richness with regard to design patterns of internet web pages. Additionally, we will examine the extent to which aforementioned factors affect customer satisfaction. Analyses with perceived risks revealed that customers feel less personal risks including performance, psychology and time/convenience when used web pages of text-images and text-videos, compared to text only based web pages. However, customers feel that web pages consisting of image-text or video-text have higher points in terms of symbolism and social presence in media richness, compared to text only based web pages. Finally, we showed that personal risk and text-based Web page negatively affect but symbolism and social presence positively impact on customer satisfaction. Therefore, this study suggests a clue that why video-based Web content did not grow different from many people's expectation.

• The Journal of the Convergence on Culture Technology
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• v.7 no.2
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• pp.427-436
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• 2021

The purpose of this study is to implement a machine learning language model that learns literary texts. Literary texts have an important characteristic that pairs of question-and-answer are not frequently clearly distinguished. Also, literary texts consist of pronouns, figurative expressions, soliloquies, etc. They hinder the necessity of machine learning using literary texts by making it difficult to learn algorithms. Algorithms that learn literary texts can show more human-friendly interactions than algorithms that learn general sentences. For this goal, this paper proposes three text correction tasks that must be preceded in researches using literary texts for machine learning language model: pronoun processing, dialogue pair expansion, and data amplification. Learning data for artificial intelligence should have clear meanings to facilitate machine learning and to ensure high effectiveness. The introduction of special genres of texts such as literature into natural language processing research is expected not only to expand the learning area of machine learning, but to show a new language learning method.

• International Journal of Contents
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• v.9 no.4
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• pp.45-51
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• 2013

The purpose of this paper is to analyze educational theories and practices represented in the movie Dangerous Minds. This paper begins by giving the overview of the movie. Then this paper makes an analysis of the pedagogical methods and practices used by the teacher in the movie, which can encourage students to fulfill their academic success and social mobility. The lives of students at risk are transformed through the teacher's beliefs and pedagogical practices based on the constructivism, leading students on a path of selfdiscovery and self-empowerment. What is imperative in the students' lives here is their intrinsic motivation and self-efficacy toward the self and their educational system. By providing constructivist pedagogical paradigms and viewing these media texts within the context of an urban school, this paper intends to introduce educational theories and methods which can create better educational environment for students. In short, this study explores teaching theories and methods represented in the movie based on the constructivist perspectives, which are supposed to fully cultivate the potential of students.

• Journal of Digital Contents Society
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• v.12 no.1
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• pp.57-67
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• 2011

Recently, an interest in a mobile search is increasing according to the growing propagation of smart phones. However, a keypad, which is not appropriate for mobile environment, is the only input media for the mobile search. As an alternative, voice emerged as a new media for the mobile search, but this also has weaknesses. Thus, in the paper, we propose a mobile content called Orthros for searching the Internet using images as an input. Orthros extracts texts from images, and then inserts the texts to public search engines as a keyword. Also, Orthros can repeat searching with the extracted texts by storing result URL to internal databases. As an experiment, we analyze properties of recognizable images and present the implementation method in details.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.6 no.2
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• pp.722-733
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• 2012

Recently various studies on various applications using images taken by mobile phone cameras have been actively conducted. This study proposes a correction method for misrecognition of Korean Texts in signboard images using improved Levenshtein metric. The proposed method calculates distances of five recognized candidates and detects the best match texts from signboard text database. For verifying the efficiency of the proposed method, a database dictionary is built using 1.3 million words of nationwide signboard through removing duplicated words. We compared the proposed method to Levenshtein Metric which is one of representative text string comparison algorithms. As a result, the proposed method based on improved Levenshtein metric represents an improvement in recognition rates 31.5% on average compared to that of conventional methods.