• 제목/요약/키워드: 텍스트 연구

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Korean Seasonal Costumes and Clothing Expressed in Novel, (한국의 세시풍속과 복식 -소설 <혼불>에 표현된 텍스트를 중심으로-)

  • 유지헌
    • The Research Journal of the Costume Culture
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    • v.11 no.5
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    • pp.697-710
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    • 2003
  • The Purpose of this study was to prospect new costume culture of 21st Century and to understand the meaning of clothing and clothing behavior which represent on Korean Seasonal Costumes expressed in novel, Honpul. The results were as follows; There are special Costumes in a Year. They are New year, First full moon, Servants day, making seasonings, Doo Rae, Wha-cheon Nori(enjoying blossoms) Costumes during spring season, Dan-Oh Costume in summer and Ya-Kwang-Gui(keeping shoes at all night), Su-Ya(overnight), Yeam-Bal(burning dropped hairs) Costume in winter season. There were many relationship with clothing in new year, Wha-cheon Nori and Servants day Costumes, but they only had adorning meaning without special symbolic or incantational meaning. Clothing and clothing behaviors in Seasoning making day Costume, Dan-Ho costume and Ya-Kwang-Gui, Su-Ya, Yeam-Bal Costumes contained practical meaning with incantational meaning. There were Servants day costumes and Doo-Rae Costumes for lower classes, New year and Wha-cheon Nori costumes for the higher classes. But the First full moon day costume was for both classes. This study will make us to grasp the meaning of clothing culture with Korean Seasonal Costumes, and be useful to measure the changes of Korean costume cultures.

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A Study on the Spatio-temporal Coordinate Array for the Efficient Editing of Game Story (게임스토리의 효율적 작성을 위한 시공간 좌표 배치 연구)

  • Shim, Yu-Jin;Sohn, Kee-Hoon
    • Journal of Korea Game Society
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    • v.18 no.3
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    • pp.39-48
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    • 2018
  • The composition of the 'The Game Story' should reflect the game play and development environment. To do that, I borrowed a coordinate format called 'Spatio-temporal Coordinate Array' that was not based on text-based storytelling. I wanted to create a way for the story to describe relationship between 'action' based on time and 'object' based on space. One way to do this was to analyze the concepts using a mystery game in which Spatio-temporal Array is a large role in user's decision-making. As a result, I found that the method -Spatio-temporal coordinates- was an editor containing game play, and a setting tool capable of being used as a conceptual diagram.

Copying Theory in Translating Games: Based on the Game 'League of Legends' (게임 번역에서의 외래어 사용에 대하여: 게임 '리그 오브 레전드'를 중심으로)

  • Won, Ho-Hyeuk;Gu, Bon-Hyeok;Kim, Hyoung-Youb
    • Journal of Korea Game Society
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    • v.18 no.1
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    • pp.135-148
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    • 2018
  • In this study, we suggest that Copying Theory suggested by Pym could be effective in translating games. Languages used in games are based on English because of the history of games mainly developed in America. When people are playing games, people pursue effective communication. Because of this, they transform translated words into simple forms or original foreign languages to communicate each other for effective communication, The usage of English in game translation and communication support the idea that Copying strategy could be effective in translating games.

Empirical Sentiment Classification Using Psychological Emotions and Social Web Data (심리학적 감정과 소셜 웹 자료를 이용한 감성의 실증적 분류)

  • Chang, Moon-Soo
    • Journal of the Korean Institute of Intelligent Systems
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    • v.22 no.5
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    • pp.563-569
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    • 2012
  • The studies of opinion mining or sentiment analysis have been the focus with social web proliferation. Sentiment analysis requires sentiment resources to decide its polarity. In the existing sentiment analysis, they have been built resources designed with intensity of sentiment polarity and decided polarity of opinion using the ones. In this paper, I will present sentiment categories for not only polarity of opinion but also the basis of positive/negative opinion. I will define psychological emotions to primary sentiments for the reasonable classification. And I will extract the informations of sentiment from social web texts for the actual distribution of sentiments in social web. Re-classifying primary sentiments based on extracted sentiment information, I will organize sentiment categories for the social web. In this paper, I will present 23 categories of sentiment by using proposed method.

A Study on Focused Crawling of Web Document for Building of Ontology Instances (온톨로지 인스턴스 구축을 위한 주제 중심 웹문서 수집에 관한 연구)

  • Chang, Moon-Soo
    • Journal of the Korean Institute of Intelligent Systems
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    • v.18 no.1
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    • pp.86-93
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    • 2008
  • The construction of ontology defines as complicated semantic relations needs precise and expert skills. For the well defined ontology in real applications, plenty of information of instances for ontology classes is very critical. In this study, crawling algorithm which extracts the fittest topic from the Web overflowing over by a great number of documents has been focused and developed. Proposed crawling algorithm made a progress to gather documents at high speed by extracting topic-specific Link using URL patterns. And topic fitness of Link block text has been represented by fuzzy sets which will improve a precision of the focused crawler.

Study on improvement of the pupil motion recognition algorithm for human-computer interface system (사람 기계간 의사소통 시스템을 위한 눈동자 모션 인식 알고리즘 개선에 대한 연구)

  • Heo, Seung Won;Lee, Hee Bin;Lee, Seung Jun;Yu, Yun Seop
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2018.10a
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    • pp.377-378
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    • 2018
  • This paper introduce the improvement of the pupil motion recognition algorithm in the previously reported "Eye-Motion Communication System using FPGA and OpenCV". It is a system for generalized paralysis and Lou Gehrig patients who can not move their body naturally, recognizing the pupil's motion and selecting the text in the FPGA in real time. In this paper, we improve the speed of motion recognition by minimizing the operation of eye detection function based on the user being general paralysis patient.

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Design and Implementation of Differencing and Merging Scheme for Cooperative Version Control System (협동 버전제어 시스템을 위한 버전충돌 인지 및 버전병합 기능의 설계와 구현)

  • Lee, Byong-Gul
    • The Transactions of the Korea Information Processing Society
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    • v.7 no.1
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    • pp.126-134
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    • 2000
  • Version control is an application to maintain consistency between different instances of the same document allowing operations such as navigation, differencing, and merging. Most version control systems, however, lack the support of functionality for cooperative writing environment, such as to represent and store the history of the actions of different individuals, to effectively differentiate and merge the individual actions including the text object, and to manage different access privileges for different granularity and individuals. With the help of Activity IDentification (AID) tag and its unique addressing scheme proposed in this paper, differencing and merging become simple and effective. Access and role control is improved by associating the access right table and role assignment in AID scheme also eliminates the requirements for large storage capacity for version information maintenance.

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News based Stock Market Sentiment Lexicon Acquisition Using Word2Vec (Word2Vec을 활용한 뉴스 기반 주가지수 방향성 예측용 감성 사전 구축)

  • Kim, Daye;Lee, Youngin
    • The Journal of Bigdata
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    • v.3 no.1
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    • pp.13-20
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    • 2018
  • Stock market prediction has been long dream for researchers as well as the public. Forecasting ever-changing stock market, though, proved a Herculean task. This study proposes a novel stock market sentiment lexicon acquisition system that can predict the growth (or decline) of stock market index, based on economic news. For this purpose, we have collected 3-year's economic news from January 2015 to December 2017 and adopted Word2Vec model to consider the context of words. To evaluate the result, we performed sentiment analysis to collected news data with the automated constructed lexicon and compared with closings of the KOSPI (Korea Composite Stock Price Index), the South Korean stock market index based on economic news.

Political Information Filtering on Online News Comment (정보 중립성 확보를 위한 인터넷 뉴스 댓글의 정치성향 분석)

  • Choi, Hyebong;Kim, Jaehong;Lee, Jihyun;Lee, Mingu
    • The Journal of the Convergence on Culture Technology
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    • v.6 no.4
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    • pp.575-582
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    • 2020
  • We proposes a method to estimate political preference of users who write comments on internet news. We collected and analyzed a massive amount of new comment data from internet news to extract features that effectively characterizes political preference of users. We expect that it helps user to obtain unbiased information from internet news and online discussion by providing estimated political stance of news comment writer. Through comprehensive tests we prove the effectiveness of two proposed methods, lexicon-based algorithm and similarity-based algorithm.

Korea-English Noun Phrase Machine Translation (한국어와 영어의 명사구 기계 번역)

  • Cho, Hee-Young;Seo, Hyung-Won;Kim, Jae-Hoon;Yang, Sung-Il
    • Annual Conference on Human and Language Technology
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    • 2006.10e
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    • pp.273-278
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    • 2006
  • 이 논문에서 통계기반의 정렬기법을 이용한 한영/영한 양방향 명사구 기계번역 시스템을 설계하고 구현한다. 정렬기법을 이용한 기계번역 시스템을 구축하기 위해서는 않은 양의 병렬말뭉치(Corpus)가 필요하다. 이 논문에서는 병렬 말뭉치를 구축하기 위해서 웹으로부터 한영 대역쌍을 수집하였으며 수집된 병렬 말뭉치와 단어 정렬 도구인 GIZA++ 그리고 번역기(decoder)인 PARAOH(Koehn, 2004), RAMSES(Patry et al., 2002), MARIE(Crego et at., 2005)를 사용하여 한영/영한 양방향 명사구 번역 시스템을 구현하였다. 약 4만 개의 명사구 병렬 말뭉치를 학습 말뭉치와 평가 말뭉치로 분리하여 구현된 시스템을 평가하였다. 그 결과 한영/영한 모두 약 37% BLEU를 보였으나, 영한 번역의 성공도가 좀더 높았다. 앞으로 좀더 많은 양의 병렬 말뭉치를 구축하여 시스템의 성능을 향상시켜야 할 것이며, 지속적으로 병렬 말뭉치를 구축할 수 있는 텍스트 마이닝 기법이 개발되어야 할 것이다. 무엇보다도 한국어 특성에 적합한 단어 정렬 모델이 연구되어야 할 것이다. 또한 개발된 시스템을 다국어 정보검색 시스템에 직접 적용해서 그 효용성을 평가해보아야 할 것이다.

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