• Title/Summary/Keyword: 텍스트 연구

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A study on mobile web design for efficient delivery of information (효율적인 정보전달을 위한 모바일 웹 디자인에 관한 연구)

  • Bae, Yoon-Sun
    • Journal of Digital Contents Society
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    • v.12 no.3
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    • pp.263-270
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    • 2011
  • The importance of effective delivery of information in the mobile web is increasing in Korea, due to the growing number of smart-phone users. In this study, I took a look at the characteristics of mobile devices and the mobile web, and after researching Korea's portal websites' mobile web designs, we figured out the users' preferences of mobile web designs through surveys and interviews. To provide compressed information on a small screen, it is ideal for significant contents to show up in the state that does not require scrolling. Users preferred compact and neat designs, and menus that were made with icons that are easy to touch with fingers, in the mobile web. When receiving delivered information, users preferred not only texts but texts that were provided together with photograph images. If usability evaluations and examination of preferences are achieved together, I think it will serve as a mobile web guideline that enables efficient delivery of information in the mobile web.

A domain-specific sentiment lexicon construction method for stock index directionality (주가지수 방향성 예측을 위한 도메인 맞춤형 감성사전 구축방안)

  • Kim, Jae-Bong;Kim, Hyoung-Joong
    • Journal of Digital Contents Society
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    • v.18 no.3
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    • pp.585-592
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    • 2017
  • As development of personal devices have made everyday use of internet much easier than before, it is getting generalized to find information and share it through the social media. In particular, communities specialized in each field have become so powerful that they can significantly influence our society. Finally, businesses and governments pay attentions to reflecting their opinions in their strategies. The stock market fluctuates with various factors of society. In order to consider social trends, many studies have tried making use of bigdata analysis on stock market researches as well as traditional approaches using buzz amount. In the example at the top, the studies using text data such as newspaper articles are being published. In this paper, we analyzed the post of 'Paxnet', a securities specialists' site, to supplement the limitation of the news. Based on this, we help researchers analyze the sentiment of investors by generating a domain-specific sentiment lexicon for the stock market.

Situating the Complex Social Functions of a Well-known Investigative Program through a Textual and Production Analysis (SBS <그것이 알고 싶다>의 역할과 성취 그리고 명과 암을 맥락화하기 텍스트 분석과 미디어 생산자연구를 통해서 조명하기)

  • Lee, Keehyeung;Hwang, Kyongah
    • Korean journal of communication and information
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    • v.75
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    • pp.83-144
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    • 2016
  • SBS's -also known as - is one of the most famous investigative programs in South Korean television sector. This program is well-known for its much detailed and tenacious investigation of unsolved crimes, various social wrong-doings, as well as public scandals through a mystery code and meticulous storytelling. As a result, generates much popular interests and responses from local audiences. This work both examines and contextualizes the multiple roles and implications of this program through a textual and production analysis. Especially, it critically pursues this program's achievements and limits in the context of the changing roles of investigative journalism and its unstable status at current juncture.

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A Study on the Expression of Numerical Data by the KAS Multimedia Tool (멀티미디어 저작도구 카스에 의한 수치데이터 표현에 관한 연구)

  • 김상호;이영욱
    • Journal of the Korea Society of Computer and Information
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    • v.4 no.3
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    • pp.1-7
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    • 1999
  • This study is to design and implement the synthetic courseware that covers repeating learning, individual teaching, and effective teaching-learning games by using multimedia authoring tool KAS for numerical data of computer science which is especially a little boring and difficult to understand through blackboard-based lesson for senior high school students. It also overcomes the drawbacks of the existing CAI focused on text and image by combining various kinds of media like image, animation and sound effects. Animation of numerical data in the fields of radix conversion makes it possible for learners to check the individual learning process and visual interest. So it comes to increase the effectiveness of learning. Whenever each chapter is finished. learners' understanding can be evaluated by formative test. Applicability test of the developed CAI in Eumsung Senior High School. is statistically evaluated as more effective than that of the blackboard-based lesson.

An Experimental Study on the Relation Extraction from Biomedical Abstracts using Machine Learning (기계 학습을 이용한 바이오 분야 학술 문헌에서의 관계 추출에 대한 실험적 연구)

  • Choi, Sung-Pil
    • Journal of the Korean Society for Library and Information Science
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    • v.50 no.2
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    • pp.309-336
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    • 2016
  • This paper introduces a relation extraction system that can be used in identifying and classifying semantic relations between biomedical entities in scientific texts using machine learning methods such as Support Vector Machines (SVM). The suggested system includes many useful functions capable of extracting various linguistic features from sentences having a pair of biomedical entities and applying them into training relation extraction models for maximizing their performance. Three globally representative collections in biomedical domains were used in the experiments which demonstrate its superiority in various biomedical domains. As a result, it is most likely that the intensive experimental study conducted in this paper will provide meaningful foundations for research on bio-text analysis based on machine learning.

Instructional Design for Teaching Integrated Essay on Home Economics Education (가정과 수업에서 통합 논술형 수업의 개발 방안)

  • Yoon, Ji-Hyun
    • Journal of Korean Home Economics Education Association
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    • v.20 no.1
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    • pp.21-44
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    • 2008
  • The purpose of this study was to analyse the possibilities and legitimacies for using integrated essay on Home Economics Education, and to suggest the instructional design. Integrated Essay consisted with three composers, subject(students), object(texts), and strategy(thinking abilities). The results of theoretical analysis, socio-constructionalism by Vygotsky, the deconstructional literacy criticism by Derrida, and cognitive psychological approach by Beyer, Wood et al, Hayes were supported the integrated essay in instruction for Home Economics Education. Also, essay tests types of university entrance exams in Korea, previous researches of thinking ability in Home Economics Education, and essay questions in textbook were analysed. As results, theoretical framework, instruction process, and instruction design for integrated essay in Home Economics Education were developed. The possibility of integrated essay is high but it's real estimate will success when Home Economics Education realize it's nature.

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Collection Fusion Algorithm in Distributed Multimedia Databases (분산 멀티미디어 데이터베이스에 대한 수집 융합 알고리즘)

  • Kim, Deok-Hwan;Lee, Ju-Hong;Lee, Seok-Lyong;Chung, Chin-Wan
    • Journal of KIISE:Databases
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    • v.28 no.3
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    • pp.406-417
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    • 2001
  • With the advances in multimedia databases on the World Wide Web, it becomes more important to provide users with the search capability of distributed multimedia data. While there have been many studies about the database selection and the collection fusion for text databases. The multimedia databases on the Web have autonomous and heterogeneous properties and they use mainly the content based retrieval. The collection fusion problem of multimedia databases is concerned with the merging of results retrieved by content based retrieval from heterogeneous multimedia databases on the Web. This problem is crucial for the search in distributed multimedia databases, however, it has not been studied yet. This paper provides novel algorithms for processing the collection fusion of heterogeneous multimedia databases on the Web. We propose two heuristic algorithms for estimating the number of objects to be retrieved from local databases and an algorithm using the linear regression. Extensive experiments show the effectiveness and efficiency of these algorithms. These algorithms can provide the basis for the distributed content based retrieval algorithms for multimedia databases on the Web.

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A Study on Edit Order of Text Cells on the MS Excel Files (MS 엑셀 파일의 텍스트 셀 입력 순서에 관한 연구)

  • Lee, Yoonmi;Chung, Hyunji;Lee, Sangjin
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.24 no.2
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    • pp.319-325
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    • 2014
  • Since smart phones or tablet PCs have been widely used recently, the users can create and edit documents anywhere in real time. If the input and edit flows of documents can be traced, it can be used as evidence in digital forensic investigation. The typical document application is the MS(Microsoft) Office. As the MS Office applications consist of two file formats that Compound Document File Format which had been used from version 97 to 2003 and OOXML(Office Open XML) File Format which has been used from version 2007 to now. The studies on MS Office files were for making a decision whether the file has been tampered or not through detection of concealed items or analysis of documents properties so far. This paper analyzed the input order of text cells on MS Excel files and shows how to figure out what cell is the last edited in digital forensic perspective.

Analysis of Integrated Korean Textbooks Based on the Components of Writing Tasks for Performance (수행을 위한 쓰기 과제의 구성요소를 기반으로 한 통합형 한국어교재 분석)

  • Park, Eunha
    • The Journal of the Korea Contents Association
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    • v.19 no.4
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    • pp.197-206
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    • 2019
  • This study aims to analyze through the integrated textbooks whether writing tasks are designed to be successful in cultivating students' writing abilities in the general-purpose Korean language education. First, we established the concept and the components of the writing task based on the definitions mentioned in previous research. The analysis of the types of writing tasks revealed "free writing" and "imitation and writing" to be the most frequent types of writing tasks in both textbooks. The textbooks have only twenty-one subjects in common. And most instructions provide only themes and genres, excluding the purpose, form, quantity, and time necessary for the article or for comprehending the instructions. In these tasks, the reading passages are most often explanatory text. The scoring criteria and time were not provided for the evaluation criteria and other factors. Therefore it became necessary to express the components of the writing task as explicitly and concretely as possible to improve learners' performances.

Topic Modeling on the Adolescent Problem Using Text Mining (텍스트 마이닝을 이용한 청소년 문제 토픽 모델링)

  • Cho, Ju-Yeon;Cho, Kyoung Won
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.22 no.12
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    • pp.1589-1595
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    • 2018
  • The purpose of this research is to search for and identify trends in adolescent problems on internet news sites. Among the domestic internet news sites, 8,110 articles on adolescent problems from 1993 to 2018 were analyzed for the top three top-ranked 'The Chosunilbo', 'The Dong-A Ilbo', and 'Korea Joongang Daily' news sites. As a result of this study, we have been able to understand the topic of adolescent problems in internet news sites for the last 26 years and find out that the trend of articles has been changed considering the environment, policies and culture related to adolescent problems. This study is meaningful to start from the method to examine the social trends of existing adolescent problems, to expand the scope of adolescent problems and counseling, to use quantitative analysis methods and to provide new information to consider diversity.