• Proceedings of the Korean Society for Information Management Conference
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• 2014.08a
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• pp.59-66
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• 2014

본 연구는 비행청소년들이 중학생 시절 경험했던 독서활동과 탈비행과의 관련성을 파악하고자 내러티브 탐구를 실시하였다. 청소년들의 탈비행에 미치는 독서활동의 영향을 밝히려는 본 연구의 목적에 따라 실시한 종단연구에 참여한 탈비행청소년은 5명이며, 연구기간은 8년이다. 연구자는 연구참여자들과 독서활동에 대한 탈비행과정을 자유로운 질문으로 면담일지와 내러티브 텍스트를 작성하여 다음과 같은 결과를 얻었다. 연구참여자로 참가한 비행청소년들은 독서활동을 통하여 과거의 상처를 치료하고 현재의 자신과 타인을 이해하게 되어 건강한 성인으로 성숙해 가고 있다. 비행청소년의 탈비행 지속성은 연구자와 연구참여자 사이의 신뢰와 유대감이 선결조건임이 확인되었다.

• Journal of Internet Computing and Services
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• v.21 no.3
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• pp.123-131
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• 2020

Along with the rapid development of artificial intelligence technology, natural language processing, which deals with human language, is also actively studied. In particular, BERT, a language model recently proposed by Google, has been performing well in many areas of natural language processing by providing pre-trained model using a large number of corpus. Although BERT supports multilingual model, we should use the pre-trained model using large amounts of Korean corpus because there are limitations when we apply the original pre-trained BERT model directly to Korean. Also, text contains not only vocabulary, grammar, but contextual meanings such as the relation between the front and the rear, and situation. In the existing natural language processing field, research has been conducted mainly on vocabulary or grammatical meaning. Accurate identification of contextual information embedded in text plays an important role in understanding context. Knowledge graphs, which are linked using the relationship of words, have the advantage of being able to learn context easily from computer. In this paper, we propose a system to extract Korean contextual information using pre-trained BERT model with Korean language corpus and knowledge graph. We build models that can extract person, relationship, emotion, space, and time information that is important in the text and validate the proposed system through experiments.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.6
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• pp.662-672
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• 2017

Child sexual crimes have increased, but there has been no effective plan to combat this. Films reporting problems, amplify the attentions and propose countermeasures, which leads to changes. The current study examined the audiences' reactions to child sexual crime faction films using text-mining. The analysis of Naver's 2,727 blogs showed realistic words while 3,000 review comments' analysis demonstrated emotional responses. The positive and negative emotional category and degree were also different. In , the higher degree of negative emotions, such as 'angry' and 'unpleasant' appeared frequently. In , only negative emotional worlds were used. On the other hand, 'sad' was the highest ranked word, and the negative level was weak. In , 'good' a positive emotional word solely emerged. The audiences perceived the accidents objectively before release while they expressed their emotions and feelings after watching the movies. caused explosive anger and organized the participating citizens for changes. This movie provided an opportunity to enforce a legislative bill intensifying heavy punishments. The present study is significant in scrutinizing the audiences' diverse emotional reactions and discusses the future direction of society prosecution movies. Based on the text analysis of the audiences' linguistic expressions, a future study will be needed to hierarchically classify the diverse emotional expressions.

• Journal of the Korean earth science society
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• v.33 no.1
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• pp.94-109
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• 2012

The purpose of this study is to analyse the descriptive characteristics of the label texts related to Earth Science at a science museum and a natural history museum in Korea. The data were collected from Korean National Science Museum and Seodaemun Natural History Museum. The analysis framework was modified according to the Systemic Functional Linguistics. As a result, characteristics of the labels are 1) mostly declarative sentences, 2) appropriate amount of scientific information, and 3) mainly 'facts'. Moreover, all of the text genre are 4) 'logical expositions'. Particularly in Korean National Science Museum, the labels present 5) more scientific words among the entire terminologies and 6) more than half subjects omitted or long nominalized. Those results may imply that the labels can lead one-way communication regarding the culture of science rather than two-way. This study presents the descriptive characteristics of the label texts to make educationally meaningful communication possible by building an open structure between visitors' own culture in everyday life and the culture of science.

• Korean journal of communication and information
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• v.80
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• pp.40-114
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• 2016

This work critically explores the so-called "Hell-Chosun" phenomenon which has gained much attention and responses in contemporary South Korea. The younger generation came to coin and utilize this new linguistic expression as well as poignant parody as a way of releasing their anger, cynicism, and frustration in the context of the omnipresent fierce competitions, deepening social instability, and job-related shrinking possibilities. The 'Hell-Chosun' phenomenon can be considered as a much complicated manifestation of the structures of feeling for the part of many younger generation South Koreans. This paper especially examines the varying representation of this phenomenon by established dailies through an in-depth textual analysis of newspaper articles, opinion pieces and reviews, as well as special issues. In doing so, this work examines the multiple implications of this particular socio-cultural phenomenon in a detailed and critical fashion.

• Journal of Internet Computing and Services
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• v.18 no.6
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• pp.35-46
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• 2017

Recently, attackers using malicious code in cyber security have been increased by attaching malicious code to a mail and inducing the user to execute it. Especially, it is dangerous because it is easy to execute by attaching a document type file. The author analysis is a research area that is being studied in NLP (Neutral Language Process) and text mining, and it studies methods of analyzing authors by analyzing text sentences, texts, and documents in a specific language. In case of attack mail, it is created by the attacker. Therefore, by analyzing the contents of the mail and the attached document file and identifying the corresponding author, it is possible to discover more distinctive features from the normal mail and improve the detection accuracy. In this pager, we proposed IADA2(Intelligent Attack mail Detection based on Authorship Analysis) model for attack mail detection. The feature vector that can classify and detect attack mail from the features used in the existing machine learning based spam detection model and the features used in the author analysis of the document and the IADA2 detection model. We have improved the detection models of attack mails by simply detecting term features and extracted features that reflect the sequence characteristics of words by applying n-grams. Result of experiment show that the proposed method improves performance according to feature combinations, feature selection techniques, and appropriate models.

• Smart Media Journal
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• v.9 no.1
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• pp.51-59
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• 2020

From PC communication to the development of the internet, a new term has been coined on the social media, and the social media culture has been formed due to the spread of smart phones, and the newly coined word is becoming a culture. With the advent of social networking sites and smart phones serving as a bridge, the number of data has increased in real time. The use of new words can have many advantages, including the use of short sentences to solve the problems of various letter-limited messengers and reduce data. However, new words do not have a dictionary meaning and there are limitations and degradation of algorithms such as data mining. Therefore, in this paper, the opinion of the document is confirmed by collecting data through web crawling and extracting new words contained within the text data and establishing an emotional classification. The progress of the experiment is divided into three categories. First, a word collected by collecting a new word on the social media is subjected to learned of affirmative and negative. Next, to derive and verify emotional values using standard documents, TF-IDF is used to score noun sensibilities to enter the emotional values of the data. As with the new words, the classified emotional values are applied to verify that the emotions are classified in standard language documents. Finally, a combination of the newly coined words and standard emotional values is used to perform a comparative analysis of the technology of the instrument.

• 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".

• The Journal of the Convergence on Culture Technology
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• v.5 no.4
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• pp.29-36
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• 2019

Lee Sang's poems and his portraits are being used in various video media. Depending on the characteristics of the medium and genre, the representation of the poet or higher and his poems are selected and variations in different ways. In a modern era where literature communicates with various media, reviewing how a poet's portrait is shaped is also the process of reading what text wants to convey to the public through a single person. This study examined aspects in which representations of poets or higher were utilized in various image media, and compared and analyzed how poet aberrations are represented in each text. In particular, the discussion centered on the movie and the drama . In the movie , the above poem is used as a hidden puzzle. The film uses the popularly known 'genius' representation to track down Yi Sang's secret. Because of this, the film represents its ideal in a way that is faithful to the genre's custom of Thriller In comparison, the drama was about to re-emerge as a young man with a passion for the inner workings. The cynical attitude shown in the above text is also a reflection of the love for the nation and the times. These different typographical methods are worth noting in terms of the literary man's public perception of "Yi-sang" and the strategy of the new portrait attempt.

• The Journal of the Convergence on Culture Technology
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• v.5 no.3
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• pp.85-92
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• 2019

Yun Dong - ju's poetry and his representations are used in various visual and dramatic media. According to its medium and genre characteristics, Yoon Dong - ju's representations and his poems are selected and changed. It is also the process of reading what the text is trying to convey to the public through a single person. In this study, Yoon Dong - joo's poetry was compared with other poetry of poetry. Particularly, the discussion was focused on the creative actor . If the creative drama is transmitting the feelings of Yoon Dong-ju through the city, the film conveys the poem of Yoon Dong-ju. Gamuplays are more restrictive than the movies because of their genre. As a result, the emotional expressions of the characters are more intense, the progress of the narrative is also dramatic, and the aspect of Yun Dong - ju, a poem illuminated by the movie and the drama, also differs. If the film aims to portray poet Yoon Dong-ju as a genuine literary youth, the creative poet reinterprets Yun's poetry as having a meaning of resistance.