• Title/Summary/Keyword: 텍스트 연구

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The Trend and Tasks of Meister High School Research: Network Text Analysis and Content Analysis (마이스터고 연구의 동향과 과제: 네트워크 텍스트 분석 및 내용분석)

  • Bae, Sang Hoon;Jang, Chang Seong;Lee, Tae Hee;Cho, Sung Bum
    • Journal of vocational education research
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    • v.33 no.3
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    • pp.83-104
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    • 2014
  • The study examined the trends of research on Meister high schools in Korea. The study also investigated differences of research interests between the university faculty and graduate students who are the future researchers in this field. A total of 56 research articles were analyzed using the network text analysis method and the content analysis. The results showed that 56% of all studies was done to reveal the distinguishable characteristics of Meister students and teachers compared to their counterpart in vocational schools. 17.6% of studies were about school curriculum, while 14.0% of studies were on school organization and operation. Only 12.3% of studies were conducted to evaluate school performance. Quantitative studies outnumbered qualitative ones. Based on the results, this study suggested implications for policies and future research on meister high school.

Keyword Analysis of Two SCI Journals on Rock Engineering by using Text Mining (텍스트 마이닝을 이용한 암반공학분야 SCI논문의 주제어 분석)

  • Jung, Yong-Bok;Park, Eui-Seob
    • Tunnel and Underground Space
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    • v.25 no.4
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    • pp.303-319
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    • 2015
  • Text mining is one of the branches of data mining and is used to find any meaningful information from the large amount of text. In this study, we analyzed titles and keywords of two SCI journals on rock engineering by using text mining to find major research area, trend and associations of research fields. Visualization of the results was also included for the intuitive understanding of the results. Two journals showed similar research fields but different patterns in the associations among research fields. IJRMMS showed simple network, that is one big group based on the keyword 'rock' with a few small groups. On the other hand, RMRE showed a complex network among various medium groups. Trend analysis by clustering and linear regression of keyword - year frequency matrix provided that most of the keywords increased in number as time goes by except a few descending keywords.

Text Analysis of Software Test Report (소프트웨어 시험성적서에 대한 텍스트 분석)

  • Jung, Hye-Jung;Han, Gun-Hee
    • Journal of the Korea Convergence Society
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    • v.11 no.11
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    • pp.25-31
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    • 2020
  • This study is to study a method of applying weights for quality characteristics in software test evaluation. The weight application method analyzes the text of the test report and uses the ratio according to the frequency of the text as a weight for the quality characteristics of the software test score. The feasibility review of the results of this study was conducted by comparing the results of the questionnaire survey, which made the developers and users to evaluate the importance of software, and the results of the frequency analysis of text analysis. When measuring quality based on the eight quality characteristics presented in ISO/IEC 25023, the result of this study is the software quality measurement result considering software characteristics, whereas the result of this study is the software quality measurement result by applying the same weight when measuring quality.

A comparative study of Entity-Grid and LSA models on Korean sentence ordering (한국어 텍스트 문장정렬을 위한 개체격자 접근법과 LSA 기반 접근법의 활용연구)

  • Kim, Youngsam;Kim, Hong-Gee;Shin, Hyopil
    • Korean Journal of Cognitive Science
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    • v.24 no.4
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    • pp.301-321
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    • 2013
  • For the task of sentence ordering, this paper attempts to utilize the Entity-Grid model, a type of entity-based modeling approach, as well as Latent Semantic analysis, which is based on vector space modeling, The task is well known as one of the fundamental tools used to measure text coherence and to enhance text generation processes. For the implementation of the Entity-Grid model, we attempt to use the syntactic roles of the nouns in the Korean text for the ordering task, and measure its impact on the result, since its contribution has been discussed in previous research. Contrary to the case of German, it shows a positive result. In order to obtain the information on the syntactic roles, we use a strategy of using Korean case-markers for the nouns. As a result, it is revealed that the cues can be helpful to measure text coherence. In addition, we compare the results with the ones of the LSA-based model, discussing the advantages and disadvantages of the models, and options for future studies.

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A Study on the Cooperative Patterns of Literature and Drama -Focused on , (문학과 드라마의 통섭 양상 연구 -<쓸쓸하고 찬란하신(神) 도깨비>, <신사의 품격>을 중심으로)

  • Son, Mi-young
    • The Journal of the Convergence on Culture Technology
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    • v.5 no.1
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    • pp.37-43
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    • 2019
  • Korean dramas since the 2000s are continuously experimenting with new narrative possibilities. Especially in the recent Korean drama, various modes of hybridization, mixing, and transformation are attempted. Therefore, this study aims to examine the consensus of literature and drama through popular drama in 2010. This study examines how literary texts are utilized in dramas through the use of Kim Eun-sook's lonely and glorious god-goblin and gentleman's dignity, and how these narrative and visual effects are gained. These two dramas are not only popular drama in Korea but also have important implications for interpreting literature and drama consciousness because they actively utilize literary texts in drama. This is the process of interpreting the main scene in which literature and the drama conspire, and grasping its significance. Through this study, we analyze the process of borrowing the part of the text of the text, drama, and taking the effect of storytelling by using 'book' as its materiality. This will confirm the way in which various genres are mixed and juxtaposed in one video text and its effects.

A Tensor Space Model based Deep Neural Network for Automated Text Classification (자동문서분류를 위한 텐서공간모델 기반 심층 신경망)

  • Lim, Pu-reum;Kim, Han-joon
    • Database Research
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    • v.34 no.3
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    • pp.3-13
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    • 2018
  • Text classification is one of the text mining technologies that classifies a given textual document into its appropriate categories and is used in various fields such as spam email detection, news classification, question answering, emotional analysis, and chat bot. In general, the text classification system utilizes machine learning algorithms, and among a number of algorithms, naïve Bayes and support vector machine, which are suitable for text data, are known to have reasonable performance. Recently, with the development of deep learning technology, several researches on applying deep neural networks such as recurrent neural networks (RNN) and convolutional neural networks (CNN) have been introduced to improve the performance of text classification system. However, the current text classification techniques have not yet reached the perfect level of text classification. This paper focuses on the fact that the text data is expressed as a vector only with the word dimensions, which impairs the semantic information inherent in the text, and proposes a neural network architecture based upon the semantic tensor space model.

The Effect of Cohesive Devices on Memory and Understanding of Scientific Text (응집장치가 과학텍스트의 기억과 이해에 미치는 효과)

  • 김세영;한광희;조숙환
    • Korean Journal of Cognitive Science
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    • v.13 no.2
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    • pp.1-13
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    • 2002
  • This Paper is concerned with the impact of linguistic markers of coherence, such as causal connectives. repetitions. and anchoring devices. on the comprehension of a scientific text in Korean. A scientific text on the process of lightning formation was selected. and two versions of the text were constructed by varying the strength of coherence. Eighty-two undergraduate students took Part in the experiment in which they were instructed to fill in the blanks in each text in a recall and a recognition task and to respond to a set of question in a comprehension test. The results of this experiment revealed a selective effect of the cohesive markers. It was found that the different linguistic signals seem to Play a facilitating role in varying degrees in accordance with the type of tasks involved Moreover an analysis of topic continuity from the beginning paragraphs through the last revealed that the text was better understood in the paragraphs containing the main topic better than those without it. This finding seems to indicate that the off-line processing of scientific text is not influenced solely by the local bottom-up processing alone The effect of topic continuity seems to suggest that a global. top-down processing effect has an important role to play. overriding the impact of cohesive devices.

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A Study on Lee Hae-Rang's Realism and Direction Standpoint - Focusing on The Performance Direction of Text "Hamlet" - (이해랑의 리얼리즘과 연출 관점에 대한 소고 - 텍스트 "햄릿" 공연 연출을 중심으로 -)

  • Ahn, Jang whan
    • (The) Research of the performance art and culture
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    • no.22
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    • pp.327-370
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    • 2011
  • Shakespeare's text "Hamlet" was first introduced in Korea in the first part of 1920s by Hyeon Cheol via 『Gaebyeok』. Its performance of whole acts was realized in Kinema Theater in Daegu by the direction of Lee Hae-Rang (translated by Han Lo-Dan) in September, 1951, during the Korean War. Since then, a variety of performances were carried out by numberless performing artists and performing groups in the 1960s, 1970s, 1980s and 1990s. The purpose of this study was, among numberless performing artists and performances appeared in the history of performance of "Hamlet", to examine Lee Hae-rang's direction standpoint of "Hamlet", which has been one of the mainstays since the 1950s. For this, among many performances directed by Lee Hae-rang, the investigator referred to the performing scripts and performance criticisms for the opening performance of Drama Center in 1962 and the performances in HOAM Art Hall in 1985 and 1989, focusing on the text "Hamlet" performance in 1951. In the second chapter, the concept, standpoint and background of realism, the base of his theatrical activities in his lifetime, were examined. In the third chapter, before analyzing his direction standpoint for text "Hamlet", the traditional and modern concept of text was summarized and a variety of standpoints and viewpoints for the text were analyzed. And based on the above summary and analysis, his direction standpoint was analyzed and examined, thus presenting a clue for the discussion on the position of Shakespeare's text "Hamlet" directed by Lee Hae-rang in the Korean history of performance and its performance aesthetics.

Exploring class criticism in multicultural mentoring activities using textuality (텍스트성을 활용한 다문화 멘토링 활동에서의 수업비평 탐색)

  • Oh, Sekyung;Huang, Haiying
    • Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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    • v.8 no.9
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    • pp.563-571
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    • 2018
  • The purpose of this study is to explore the direction of multicultural mentoring class activities in order to promote the professional growth and critical reflection of student mentors who are undergraduate students from a variety of major. For this purpose, the contents and phenomena of the multicultural mentoring of the mentor - mentee were reported as activity texts, and then seven directions of textuality were applied to explore the direction of multicultural mentoring class activities. As a result, coherence refers to the relationship between the mentor and the mentee for continuing the activities of multicultural mentoring, and cohesiveness refers to the relationship between the mentor and the mentee. It was called the achievement of identity. Intention means that the mentor has an intention or goal for the class before the mentoring activity, and tolerance means that the text produced by the mentor in the multicultural mentoring process is accepted by the mentee. Intentional means that the mentor has intention or goal for the class before the mentoring class activity, and tolerance means having the text as the class activity text when the mentor's text is accepted by the multicultural mentoring class activity process. In the case of informativeness, the information produced by the mentor is less informative when the mentee is predictable and less informative when the predictor is low. In the case of contextuality, contextuality of class activities can be changed according to the physical text situation and the mentee situation in class activity. In case of multicultural mentoring class activity, except for case where mentor creates new class activity text, it is related to the production of class activity texts through mentor learning experiences, peer friends' advice, and education.

Implementation to phonological alteration module for a korean text-to-speech (한국어 Text-to-Speech 변환을 위한 음운 변동 시스템에 관한 연구)

  • Park, Su-Hyun;Kwon, Hyuk-Chul
    • Annual Conference on Human and Language Technology
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    • 1995.10a
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    • pp.35-38
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    • 1995
  • Text-to-speech 시스템은 텍스트를 입력으로 받아 텍스트와 일치하는 음성을 출력하는 시스템으로, 인간이 자신의 모국어로 텍스트를 읽는 것과 비슷한 수준의 음성을 출력하는 데 목적이 있다. 한국어의 각 단어들은 한 단어 내에 있는 형태소들 사이에 음운 변동 현상을 일으켜 쓰여진 형태와 다르게 발음된다. 그러므로 한국어 텍스트를 자연스럽게 발음하기 위해서는 음운 변동 현상을 효율적으로 처리할 수 있어야 한다. 한국어에서 음운 변동을 일으키는 규칙은 여러 가지이고, 정확한 발음을 위해서는 이러한 규칙들이 차례대로 적용되어져야 한다. 따라서 본 논문에서는 이러한 한국어의 발음상의 특성을 고려하여 two-level 모델에 기반한 음운 변동 시스템을 구현한다.

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