• Title/Summary/Keyword: 연설문

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Language style of the President of the Republic of Korea: linguistic and psychological properties in Presidents' Address (대한민국 대통령의 언어스타일: 연설문에 나타난 언어적 특성과 심리적 특성)

  • Kim, Youngjun;Kim, Kyungil
    • Korean Journal of Cognitive Science
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    • v.30 no.3
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    • pp.105-132
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    • 2019
  • This study quantitatively analyzed the speeches of the former 8 Presidents of the Republic of Korea. Unlike the previous studies, this study analyzed both the content word and the functional word related to the psychological phenomenon. In Study 1, six language style indicators such as clout, authenticity, presidentiality, cognitive complexity, femininity, and psychological health were developed. Also, as presidential speeches have been made recently, authenticity, presidentiality, psychological health tended to increase, but cognitive complexity tended to decrease. These tendencies were supported by linear trend analysis. The linguistic differences were distinct not only among individual presidents but also by groups based on the political orientation of the president. In the progressive presidential speech, more clout, cognitive complexity, femininity were observed. In contrast, more authenticity and presidentiality were observed in the conservative presidential speech. In Study 2, it was demonstrated whether the developed language style indicators show reliability in the most recent President's speeches. Finally, it was discussed that the relationship between language style indicators, fitness of the political tendency between the regime and the general public since 2000s, and the characteristics of femininity indicator.

Presidential Candidate's Speech based on Network Analysis : Mainly on the Visibility of the Words and the Connectivity between the Words (18대 대통령 선거 후보자의 연설문 네트워크 분석: 단어의 가시성(visibility)과 단어 간 연결성(connectivity)을 중심으로)

  • Hong, Ju-Hyun;Yun, Hae-Jin
    • The Journal of the Korea Contents Association
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    • v.14 no.9
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    • pp.24-44
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    • 2014
  • This study explores the political meaning of candidate's speech and statement who run for the 18th presidential election in the viewpoint of communication. The visibility of the words and the connectivity between the words are analyzed in the viewpoint of structural aspect and the vision, policy. The visibility of the words is analyzed based on the frequency of the words mentioned in the speech or the statement. The connectivity between the words are analyzed based on the network analysis and expressed by graph. In the case of candidate Park, the key word is the happiness of the people and appointment. The key word for candidate Moon is regime change and the Korean Peninsula and the key word for candidate Ahn is the people and change. This study contributes positively to the study of candidate's discourse in the viewpoint of methodology by using network analysis and exploring scientifically the connectivity of the words. In the theoretical aspect this study uses the results of network analysis for revealing what is the leadership components in the speech and the statement. In conclusion, this study highlights the extension of the communication studies.

Speaker classification and prediction with language model (언어모델을 활용한 문서 내 발화자 예측 분류 모델)

  • Kim, Gyeongmin;Han, Seunggyu;Seo, Jaehyung;Lee, Chanhee;Lim, Heuiseok
    • Annual Conference on Human and Language Technology
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    • 2020.10a
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    • pp.317-320
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    • 2020
  • 연설문은 구어체와 문어체 두 가지 특성을 모두 갖고 있는 복합적인 데이터 형태이다. 발화자의 문장 표현, 배열, 그리고 결합에 따라 그 구조가 다르기 때문에, 화자 별 갖는 문체적 특성 또한 모두 다르다. 국정을 다루는 정치인들의 연설문은 국정 현황을 포함한 다양한 주요 문제점을 다룬다. 그러면 발화자의 문서 내 문체적 특성을 고려할 경우, 해당 문서가 어느 정치인의 연설문인지 파악 할 수 있는가? 본 연구에서는 대한민국 정책 브리핑 사이트로부터 한국어 기반 사전 학습된 언어 모델을 활용하여 연설문에 대한 미세조정을 진행함으로써 발화자 예측 분류 모델을 생성하고, 그 가능성을 입증하고자 한다. 본 연구는 5-cross validation으로 모델 성능을 평가하였고 KoBERT, KoGPT2 모델에서 각각 90.22%, 84.41% 정확도를 보였다.

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Grammatical Properties of Kes Constructions in a Speech Corpus (연설문 말뭉치에서 나타나는 '것' 구문의 문법적 특징)

  • Kim, Jong-Bok;Lee, Seung-Han;Kim, Kyung-Min
    • Korean Journal of Cognitive Science
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    • v.19 no.3
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    • pp.257-281
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    • 2008
  • The expression 'kes' is one of the most widely used ones in the language whose uses are highly dependent upon the context. These highly-context dependent uses make it hard to determine its grammatical properties. As a way of examining the properties in a rather controlled context, this paper collects a series of speeches made by government officials and examines the grammatical properties of the expression in the corpus. In particular, the paper, based on the 539 instances of 'kes' uses extracted from the corpus, focuses on the 7 types of 'kes' constructions most widely used in the collected speech corpus.

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A Study on Text Mining Analysis of Presidential Maritime Concept in KOREA (텍스트마이닝을 이용한 한국 대통령의 해양관에 관한 연구)

  • Kim, Sung-Kuk;Lee, Tae-Hwee
    • Journal of Korea Port Economic Association
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    • v.36 no.3
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    • pp.39-54
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    • 2020
  • In the presidential political system, the word of the president has great influence on the formation of national policy and the decision-making process. Policy priorities are determined according to the president's ideology and core values, and various policies are established and executed according to the priorities. Therefore, this paper analyzes the contents of the president's speech. Since the president's speech is a semantic datum, in order to analyze unstructured text, big data analysis is conducted through the methods of machine learning and deep learning. In this study, the president's speech at the "National Sea Day" commemoration was obtained 1996 onwards and analyzed using topic modeling. As a result of the analysis, all the presidents' speeches were delivered with a view of the ocean that was consistent with the direction of their administration. It was confirmed that the ocean-industry-resource topics, which are the intrinsic values of the ocean, were not damaged and consistently emphasized by all presidents.

Entrepreneur Speech and User Comments: Focusing on YouTube Contents (기업가 연설문의 주제와 시청자 댓글 간의 관계 분석: 유튜브 콘텐츠를 중심으로)

  • Kim, Sungbum;Lee, Junghwan
    • The Journal of the Korea Contents Association
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    • v.20 no.5
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    • pp.513-524
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    • 2020
  • Recently, YouTube's growth started drawing attention. YouTube is not only a content-consumption channel but also provides a space for consumers to express their intention. Consumers share their opinions on YouTube through comments. The study focuses on the text of global entrepreneurs' speeches and the comments in response to those speeches on YouTube. A content analysis was conducted for each speech and comment using the text mining software Leximancer. We analyzed the theme of each entrepreneurial speech and derived topics related to the propensity and characteristics of individual entrepreneurs. In the comments, we found the theme of money, work and need to be common regardless of the content of each speech. Talking into account the different lengths of text, we additionally performed a Prominence Index analysis. We derived time, future, better, best, change, life, business, and need as common keywords for speech contents and viewer comments. Users who watched an entrepreneur's speech on YouTube responded equally to the topics of life, time, future, customer needs, and positive change.

세계 석유시장 전망

  • AMa, Deu-
    • Korea Petroleum Association Journal
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    • no.6 s.148
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    • pp.25-27
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    • 1993
  • 이자료는 전 사우디 석유장관이며 현 세계 에너지 연구소(CGES) 소장인 Shaik Ahmad Zaki Yamani씨가 4월 6일 CGES런던회의에서 행한 연설문을 번역한 것이다.

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