• 아동학회지
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• 제31권5호
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• pp.31-45
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• 2010

This study was conducted in order to investigate the effect of students' attitudes to internet media language and orthographic knowledge on their use of internet media language. The participants were 989 students in the 4th to 11th grades in Kyunggi-do. It was found that the participants used more internet media language in internet literacy than for general writing. Elementary students exhibited significantly less orthographic knowledge and used more internet media language to write on the internet than older students. Students' attitudes to internet media language went a long way to explaining their self-assessment on the frequency of using internet media language and their genuine use of internet media language on the internet. Their orthographic knowledge, however, was not a significant predictor for their use of internet media language.

• 한국인터넷방송통신학회논문지
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• 제16권1호
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• pp.273-281
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• 2016

본 논문에서는 인터넷 매체 언어상에서 나타나고 있는 국어 파괴 현상의 고찰을 고찰하여, 이에 대한 기술적 개선 방법으로서 표준어 자동 번역 기술을 제안한다. 실생활 속에서 국어 파괴 현상과 관련된 경험 및 피해 사례들을 설문 조사 및 FGI(Focussed Group Interview)를 통하여 수집 및 분석한 결과를 제시하고, 분석결과 자료 기반으로, '국어 파괴도(degree of Korean destruction)'의 지표를 정의하였다. 국어 파괴도는 표준어 자동 번역 기술이 갖고 있는 번역 오류가 가진 한계를 최소화하여, 표준어 자동 번역 기술의 효율성을 최대로 활용하기 위한 척도로서 활용될 수 있음을 인터넷 매체 문장 2,480 개의 분석을 통하여 제시하였다. 본 논문에서 제안된 국어 파괴도 측정 및 표준어 자동 번역 기술은 Java 언어를 사용하여 REST API 형태로 구현하였으며, 웹브라우저상에서 동작을 확인하였다.

• International Journal of Internet, Broadcasting and Communication
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• 제14권4호
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• pp.189-197
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• 2022

Today, we are exposed to various text-based media such as newspapers, Internet articles, and SNS, and the amount of text data we encounter has increased exponentially due to the recent availability of Internet access using mobile devices such as smartphones. Collecting useful information from a lot of text information is called text analysis, and in order to extract information, it is performed using technologies such as Natural Language Processing (NLP) for processing natural language with the recent development of artificial intelligence. For this purpose, a morpheme analyzer based on everyday language has been disclosed and is being used. Pre-learning language models, which can acquire natural language knowledge through unsupervised learning based on large numbers of corpus, are a very common factor in natural language processing recently, but conventional morpheme analysts are limited in their use in specialized fields. In this paper, as a preliminary work to develop a natural language analysis language model specialized in the railway field, the procedure for construction a corpus specialized in the railway field is presented.

• International journal of advanced smart convergence
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• 제11권2호
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• pp.118-127
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• 2022

Barrage language is a new media language based on Internet video. It is a representative expression of the Internet environment regardless of its format and content. As a unique movie viewing characteristic provided by the barrage function, the timeliness of feedback, entertainment, and interactivity of the content are excellent. Characteristic. Barrage language itself is closely related not only to the value of linguistic research, but also to the spread of the Internet in the Internet environment. Based on the current situation of Chinese video sites, this thesis explores how Barrage is an organic cycle of culture and consumption in a specific platform and group, and analyzes its propagation methods and effects. By analyzing the characteristics of content production patterns unique to the barrage culture, implications and reference values for production activities of other cultures, the effect of popularization on viewers and the production and consumption of the 'barrage' culture of the industry is studied, and furthermore, the 'barrage' culture is It was designed to be a reference for the development of the platform, internet culture, and animation industry culture.

• International journal of advanced smart convergence
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• 제8권1호
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• pp.153-158
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• 2019

Language and letter are represented by a combination of its signifier and signified. All symblos are commonly calling direct attention to people who are living in the physical world. However, in cyberspace, the image takes control once inhabited by the language. Cyberspace with anonymity and deoent physical nature has something with physical laws. In this space the statue transcends the imaginary realm. Ideology gives a greater connotation by giving a series of regulation to images floating in cyberspace. Even if various media have the same image, the meaning of the image changes depending on which ideology is used. The impact of this on the public is great. In this study, I discuss the ideology in cyberspace where is supposedly wide open to who visits and spreads all the thoughts without suppression and the human body. The main ideas would be who owns the ideology and what does it want to control and how the people would react to the ideology. This paper would eventually head the prototype that visualizes above ideas. Though the interactive media it will also show the subject in the real world is accept the images floating in the cyberspace without any doubts.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제17권11호
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• pp.2966-2986
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• 2023

Climate change is a constant threat to human life, and it is important to understand the public perception of this issue. Previous studies examining climate change have been based on limited survey data. In this study, the authors used big data such as news articles and social media data, within which the authors selected specific keywords related to climate change. Using these natural language data, topic modeling was performed for discourse analysis regarding climate change based on various topics. In addition, before applying topic modeling, sentiment analysis was adjusted to discover the differences between discourses on climate change. Through this approach, discourses of positive and negative tendencies were classified. As a result, it was possible to identify the tendency of each document by extracting key words for the classified discourse. This study aims to prove that topic modeling is a useful methodology for exploring discourse on platforms with big data. Moreover, the reliability of the study was increased by performing topic modeling in consideration of objective indicators (i.e., coherence score, perplexity). Theoretically, based on the social amplification of risk framework (SARF), this study demonstrates that the diffusion of the agenda of climate change in public news media leads to personal anxiety and fear on social media.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제16권1호
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• pp.305-318
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• 2022

Abusive behaviors have become a common issue in many online social media platforms. Profanity is common form of abusive behavior in online. Social media platforms operate the filtering system using popular profanity words lists, but this method has drawbacks that it can be bypassed using an altered form and it can detect normal sentences as profanity. Especially in Korean language, the syllable is composed of graphemes and words are composed of multiple syllables, it can be decomposed into graphemes without impairing the transmission of meaning, and the form of a profane word can be seen as a different meaning in a sentence. This work focuses on the problem of filtering system mis-detecting normal phrases with profane phrases. For that, we proposed the deep learning-based framework including grapheme and syllable separation-based word embedding and appropriate CNN structure. The proposed model was evaluated on the chatting contents from the one of the famous online games in South Korea and generated 90.4% accuracy.

• 방송공학회논문지
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• 제22권5호
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• pp.579-588
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• 2017

최근 네트워크 환경의 발달로 인해 사물인터넷 시장이 확대되고 있어 사물 간의 원활한 정보 교환을 위한 데이터 포맷 및 API의 표준화가 필요하다. 이에 국제 표준화 기구인 MPEG(Moving Picture Expert Group)에서는 MPEG-IoMT(ISO/IEC 23093) 프로젝트를 신설해 사물인터넷 관련 표준화를 진행 중이다. MPEG-IoMT는 핵심실험(Core Experiment:CE)을 수립해 데이터 교환 절차, 마크업 언어, 통신 방식 등 전반적인 데이터 교환에 대한 논의를 하고 있다. 본 논문에서는 MPEG-IoMT의 핵심실험 중 핵심실험 1 MPEG-V 센서에 기반한 센서 API 설계, 핵심실험 2 MPEG-V 감각효과에 기반한 구동기 API 설계, 핵심실험 4 IoMT 데이터 표현을 위한 MPEG-21 디지털 아이템, 핵심실험 5 JSON과 RESTful API의 분석에 관해 살펴본다. 센서의 성능 정보와 센서데이터, 구동기의 성능 정보, 제어 명령의 교환 절차를 설명하고 미디어의 부가 데이터의 교환에 대해 논의한다. 또한 마크업 언어와 통신방식을 실험을 통해 비교한다.

• 한국방송∙미디어공학회:학술대회논문집
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• 한국방송공학회 2009년도 IWAIT
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• pp.799-802
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• 2009

We have been studying the next generation of video creation solution based on TVML (TV program Making Language) technology. TVML is a well-known scripting language for computer animation and a TVML Player interprets the script to create video content using real-time 3DCG and synthesized voices. TVML has a long history proposed back in 1996 by NHK, however, the only available Player has been the one made by NHK for years. We have developed a new TVML Player from scratch and named it T2V (Text-To-Vision) Player. Due to the development from scratch, the code is compact, light and fast, and extendable and portable. Moreover, the new T2V Player performs not only a playback of TVML script but also a Text-To-Vision conversion from input written in XML format or just a mere plane text to videos by using 'Text-filter' that can be added as a plug-in of the Player. We plan to make it public as freeware from early 2009 in order to stimulate User-Generated-Content and a various kinds of services running on the Internet and media industry. We think that our T2V Player would be a key technology for upcoming new movement.

• 스마트미디어저널
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• 제5권2호
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• pp.24-32
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• 2016

Recently, the development of electronic teaching materials and the demand of digital learners have led the needs on the education contents that replace learning from character information and the change of an information design method for this. Chinese character education in the traditional schooling mainly focuses on writing and memorization (semantic memory). This way that the stories do not exist has brought the learners' recognition that Chinese character is difficult to learn. Meanwhile, for a language study such as English, cross-media development between printed materials and audio-visual materials has been actively introduced. The method that extends episode memories along with memorization through a story is widely used. Therefore, this content suggests a prototype, which is broken away from an existing way of learning Chinese character that mainly focuses on writing, one sided instruction and information cramming. This makes learners learn through a story from printed materials and animation. Furthermore, it suggests a method that extends episode memories through Chinese education contents based on IoT explaining the principle of Chinese character by combining IT technology (information and communications, IoT) and education contents on block toys.