RISS 학술연구정보서비스

검색
자동완성 버튼

인기 검색어

    다국어 입력
    あ ぁ か が さ ざ た だ な は ば ぱ ま や ゃ ら わ ゎ ん い ぃ き ぎ し じ ち ぢ に ひ び ぴ み り う ぅ く ぐ す ず つ づ っ ぬ ふ ぶ ぷ む ゆ ゅ る え ぇ け げ せ ぜ て で ね へ べ ぺ め れ お ぉ こ ご そ ぞ と ど の ほ ぼ ぽ も よ ょ ろ を
    ア ァ カ サ ザ タ ダ ナ ハ バ パ マ ヤ ャ ラ ワ ヮ ン イ ィ キ ギ シ ジ チ ヂ ニ ヒ ビ ピ ミ リ ウ ゥ ク グ ス ズ ツ ヅ ッ ヌ フ ブ プ ム ユ ュ ル エ ェ ケ ゲ セ ゼ テ デ ヘ ベ ペ メ レ オ ォ コ ゴ ソ ゾ ト ド ノ ホ ボ ポ モ ヨ ョ ロ ヲ ―

    http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.

    변환된 중국어를 복사하여 사용하시면 됩니다.

    예시)
    • 中文 을 입력하시려면 zhongwen을 입력하시고 space를누르시면됩니다.
    • 北京 을 입력하시려면 beijing을 입력하시고 space를 누르시면 됩니다.
    ㅥ ㅦ ㅧ ㅨ ㅩ ㅪ ㅫ ㅬ ㅭ ㅮ ㅯ ㅰ ㅱ ㅲ ㅳ ㅴ ㅵ ㅶ ㅷ ㅸ ㅹ ㅺ ㅻ ㅼ ㅽ ㅾ ㅿ ㆀ ㆁ ㆂ ㆃ ㆄ ㆅ ㆆ ㆇ ㆈ ㆉ ㆊ ㆋ ㆌ ㆍ ㆎ
    Α Β Γ Δ Ε Ζ Η Θ Ι Κ Λ Μ Ν Ξ Ο Π Ρ Σ Τ Υ Φ Χ Ψ Ω α β γ δ ε ζ η θ ι κ λ μ ν ξ ο π ρ σ τ υ φ χ ψ ω
    á à Á À é è É È ç Ç ê
    Ä Ö Ü ä ö ü ß
    ְ ֳ ֲ ֱ ָ ַ ֵ ֶ ִ ֹ ּ ֻ ׂ ׁ ּ פ ם ן ו ט א ר ק ף ך ל ח י ע כ ג ד ש ץ ת צ מ נ ה ב
    ‘ ’ “ ” 〔 〕 〈 〉 「 」 『 』 【 】 ＂ （ ） ［ ］ ｛ ｝
    ± × ÷ ≠ ≤ ≥ ∞ ∴ ♂ ♀ ∠ ⊥ ⌒ ∂ ∇ ≡ ≒ ≪ ≫ √ ∽ ∝ ∵ ∫ ∬ ∈ ∋ ⊆ ⊇ ⊂ ⊃ ∪ ∩ ∧ ∨ ￢ ⇒ ⇔ ∀ ∃ ∮ ∑ ∏ ＋ － ＜ ＝ ＞
    、 。 · ‥ … ¨ 〃 ― ∥ ＼ ∼ ´ ～ ˇ ˘ ˝ ˚ ˙ ¸ ˛ ¡ ¿ ː ！ ＇ ， ． ／ ： ； ？ ＾ ＿ ｀ ｜
    ½ ⅓ ⅔ ¼ ¾ ⅛ ⅜ ⅝ ⅞ ¹ ² ³ ⁴ ⁿ ₁ ₂ ₃ ₄
    Æ Ð Ħ IJ Ł Ø Œ Þ Ŧ Ŋ æ đ ð ħ ı ij ĸ ŀ ł ø œ ß þ ŧ ŋ ʼn
    А Б В Г Д Е Ё Ж З И Й К Л М Н О П Р С Т У Ф Х Ц Ч Ш Щ Ъ Ы Ь Э Ю Я а б в г д е ё ж з и й к л м н о п р с т у ф х ц ч ш щ ъ ы ь э ю я
    ′ ″ ℃ Å ￠ ￡ ￥ ¤ ℉ ‰ ＄ ％ Ｆ ￦ ㎕ ㎖ ㎗ ℓ ㎘ ㏄ ㎣ ㎤ ㎥ ㎦ ㎙ ㎚ ㎛ ㎜ ㎝ ㎞ ㎟ ㎠ ㎡ ㎢ ㏊ ㎍ ㎎ ㎏ ㏏ ㎈ ㎉ ㏈ ㎧ ㎨ ㎰ ㎱ ㎲ ㎳ ㎴ ㎵ ㎶ ㎷ ㎸ ㎹ ㎀ ㎁ ㎂ ㎃ ㎄ ㎺ ㎻ ㎽ ㎾ ㎿ ㎐ ㎑ ㎒ ㎓ ㎔ Ω ㏀ ㏁ ㎊ ㎋ ㎌ ㏖ ㏅ ㎭ ㎮ ㎯ ㏛ ㎩ ㎪ ㎫ ㎬ ㏝ ㏐ ㏓ ㏃ ㏉ ㏜ ㏆
    § ※ ☆ ★ ○ ● ◎ ◇ ◆ □ ■ △ ▽ → ← ↑ ↓ ↔ 〓 ◁ ◀ ▷ ▶ ♤ ♠ ♡ ♥ ♧ ♣ ⊙ ◈ ▣ ◐ ◑ ▒ ▤ ▥ ▨ ▧ ▦ ▩ ♨ ☏ ☎ ☜ ☞ † ‡ ↕ ↗ ↙ ↖ ↘ ♭ ♩ ♪ ♬ ㉿ ㈜ № ㏇ ™ ㏂ ㏘ ℡ ＃ ＆ ＊ ＠ ª º
    ⅰ ⅱ ⅲ ⅳ ⅴ ⅵ ⅶ ⅷ ⅸ ⅹ Ⅰ Ⅱ Ⅲ Ⅳ Ⅴ Ⅵ Ⅶ Ⅷ Ⅸ Ⅹ
    ا ب ت ث ج ح خ د ذ ر ز س ش ص ض ط ظ ع غ ف ق ک ل م ن ه و ی
    닫기

    How to Utilize Online Texts for Understanding Political Landscape : Method and Application of Online Public Opinion from Twitter = 온라인 텍스트를 활용한 정치 여론 연구 : 트위터를 활용한 온라인 여론 측정 방법 및 적용

    한글로보기

    https://www.riss.kr/link?id=T15793733

    • 0

      상세조회

    • 0

      다운로드
    서지정보 열기
    • 내보내기
    • 내책장담기
    • 공유하기
    • 오류접수

    부가정보

    국문 초록 (Abstract) kakao i 다국어 번역

    한국어
    영어
    민주주의의 기본 전제는 여론의 반영이다. 민주주의는 시민들의 정책적 우선순위를 선거를 통해 반영하는 시스템이다. 시민은 선거를 통해 자신의 선호와 유사한 후보를 입법부 또는 집행부의 일원으로 선출하고, 선출된 정치인은 대중을 대신해 정책적 우선순위를 실현하기 위해 노력한다. 이러한 이유로 여론을 파악하 고 이해하는 것이 정치적으로 매우 중요하다. 현재까지는 서베이 방식의 여론조사를 통해 시민의 여론을 파 악했다. 하지만 인터넷이 광범위하게 도입된 이후 우리의 생활방식은 크게 바뀌었고, 기존의 여론조사방법 은 이러한 변화를 충분히 반영하지 못하고 있다. 본 연구는 온라인 텍스트 데이터를 사용하여 대통령 지지 율을 파악하고, 새로운 방법으로 획득한 여론을 기존 정치학 연구에 적용하여 정치적 함의를 모색하는데 목 적이 있다.
    세상에는 다양한 여론이 존재한다. 다양한 이해를 가진 집단이 존재하고 모든 집단 내에서 여론이 만들어 지기 때문이다. 이러한 이유로 인해 기존의 설문조사 방식만으로 여론을 파악하는 데는 한계가 있다. 본 논 문은여론을측정하는보완적방법을통해하나의주제에도측정대상에따라다양한여론이존재할수있 음을 설명하고, 이를 정치현상에 적용하여 각 여론의 차별적 효과를 검증하고자 한다.
    본논문은정치현상에대한연구방법론개발에목적이있다.즉여론파악을위한새로운연구방법소개 한다. 새로운 연구방법은 컴퓨터를 활용해 대용량의 텍스트 데이터를 수집하고 처리하는 방법, 그리고 컴퓨 터알고리즘을 활용해 텍스트에서 긍정과 부정 등의 감성을 추출하는 방법을 포함한다. 기계학습을 활용해 텍스트에서 감성을 추출함에 있어 효과적인 모델을 모색하고, 온라인에서 파악된 결과를 기존의 오프라인 여론조사와 비교한다. 구체적 연구대상은 정치학 연구에서 가장 유용하게 사용하는 대통령 지지율로 설정했 다.
    본 논문에서 제시된 결론은 첫째, 온라인 데이터와 적절한 알고리즘을 통해 여론 측정이 가능하다는 것이 다. 이러한 가능성은 기존 정치학 연구가 갖는 공간적, 시간적 제한을 줄여주며, 데이터 수집에 필요한 시간및비용을줄여연구에필요한다양한데이터를얻을수있도록한다.둘째,오프라인환경의여론과온 라인 여론이 서로 유사하지 않다는 것을 보여주고 있다. 온라인 여론은 오프라인 여론과 비교해 변동성이 크고 이슈에 보다 신속하게 반응한다. 이와 더불어 새로운 온라인 여론 데이터는 기존의 대통령 지지율 연 구에서 밝히지 못한 현상을 밝히고 있다. 예를 들어, 한국 정치환경에서 온라인 여론은 대통령의 입법성공 율에 긍정적인 영향을 미치고 있었다. 더불어 미국의대통령 지지율을 통해 온라인과 오프라인 여론의 영향 을 미치는 요인이 서로 다르다는 것을 경험적으로 검증하였다.
    번역하기

    민주주의의 기본 전제는 여론의 반영이다. 민주주의는 시민들의 정책적 우선순위를 선거를 통해 반영하는 시스템이다. 시민은 선거를 통해 자신의 선호와 유사한 후보를 입법부 또는 집행...

    민주주의의 기본 전제는 여론의 반영이다. 민주주의는 시민들의 정책적 우선순위를 선거를 통해 반영하는 시스템이다. 시민은 선거를 통해 자신의 선호와 유사한 후보를 입법부 또는 집행부의 일원으로 선출하고, 선출된 정치인은 대중을 대신해 정책적 우선순위를 실현하기 위해 노력한다. 이러한 이유로 여론을 파악하 고 이해하는 것이 정치적으로 매우 중요하다. 현재까지는 서베이 방식의 여론조사를 통해 시민의 여론을 파 악했다. 하지만 인터넷이 광범위하게 도입된 이후 우리의 생활방식은 크게 바뀌었고, 기존의 여론조사방법 은 이러한 변화를 충분히 반영하지 못하고 있다. 본 연구는 온라인 텍스트 데이터를 사용하여 대통령 지지 율을 파악하고, 새로운 방법으로 획득한 여론을 기존 정치학 연구에 적용하여 정치적 함의를 모색하는데 목 적이 있다.
    세상에는 다양한 여론이 존재한다. 다양한 이해를 가진 집단이 존재하고 모든 집단 내에서 여론이 만들어 지기 때문이다. 이러한 이유로 인해 기존의 설문조사 방식만으로 여론을 파악하는 데는 한계가 있다. 본 논 문은여론을측정하는보완적방법을통해하나의주제에도측정대상에따라다양한여론이존재할수있 음을 설명하고, 이를 정치현상에 적용하여 각 여론의 차별적 효과를 검증하고자 한다.
    본논문은정치현상에대한연구방법론개발에목적이있다.즉여론파악을위한새로운연구방법소개 한다. 새로운 연구방법은 컴퓨터를 활용해 대용량의 텍스트 데이터를 수집하고 처리하는 방법, 그리고 컴퓨 터알고리즘을 활용해 텍스트에서 긍정과 부정 등의 감성을 추출하는 방법을 포함한다. 기계학습을 활용해 텍스트에서 감성을 추출함에 있어 효과적인 모델을 모색하고, 온라인에서 파악된 결과를 기존의 오프라인 여론조사와 비교한다. 구체적 연구대상은 정치학 연구에서 가장 유용하게 사용하는 대통령 지지율로 설정했 다.
    본 논문에서 제시된 결론은 첫째, 온라인 데이터와 적절한 알고리즘을 통해 여론 측정이 가능하다는 것이 다. 이러한 가능성은 기존 정치학 연구가 갖는 공간적, 시간적 제한을 줄여주며, 데이터 수집에 필요한 시간및비용을줄여연구에필요한다양한데이터를얻을수있도록한다.둘째,오프라인환경의여론과온 라인 여론이 서로 유사하지 않다는 것을 보여주고 있다. 온라인 여론은 오프라인 여론과 비교해 변동성이 크고 이슈에 보다 신속하게 반응한다. 이와 더불어 새로운 온라인 여론 데이터는 기존의 대통령 지지율 연 구에서 밝히지 못한 현상을 밝히고 있다. 예를 들어, 한국 정치환경에서 온라인 여론은 대통령의 입법성공 율에 긍정적인 영향을 미치고 있었다. 더불어 미국의대통령 지지율을 통해 온라인과 오프라인 여론의 영향 을 미치는 요인이 서로 다르다는 것을 경험적으로 검증하였다.

    더보기

    다국어 초록 (Multilingual Abstract) kakao i 다국어 번역

    영어
    한국어
    Public Opinion is a fundamental element of democracy. Democratic systems reflect the various preferences of its people through elections. Public opinion influences elections and elected officials of legislative and executive bodies attempt to incorporate people’s desires into the system. Therefore, it is essential to understand the public’s aggregated sentiments. We measure public opinion through a survey method. This has not changed, although our way of communicating has greatly evolved since the introduction of the Internet. This dissertation explores a scientific method for gauging online public opinion using texts from the Internet and it demonstrates how the newly acquired data applies to existing political studies. The study focuses on presidential approval as a subject of analysis because of its popularity and stability in the field of political studies.
    This study recognizes that there is no single body of public opinion. There are groups with different interests, and each group can have a collective attitude. A polling method alone cannot discover all existing public opinions. The dissertation introduces a method for measuring an alternative public opinion, which utilizes online text data, to demonstrate that there is more than one public attitude. It also confirms that public sentiments expressed in online and offline environments are different and have particular political implications.
    The dissertation includes how to process text data of Twitter to fit into a machine learning algorithm and to calculate collected online sentiment. The entire process utilizes the Korean language, which is more complex than English. I compare three different neural networks and two types of data sets to obtain the optimal meaning of a text. The dissertation focuses on presidential approval as a proxy for public opinion. It is the most-used measure of public opinion in politics. The study finds that online public opinion is different than offline polls and that they each have unique political implications by comparing conventional methods of determining presidential approvals and the newly calculated online public opinion. Moreover, computer-generated public opinion fits into political models, which are used in the existing literature, to examine how online public opinion explains various political phenomena.
    The research has two main conclusions. First, in terms of methods, it is possible to obtain public opinion from online text data and the appropriate machined-learned algorithm. This technique can expand the scope of political research by reducing spatial and temporal restrictions in collecting public opinion. It also resolves a common public opinion problem, that polls require significant resources. Second, the research reveals that online public opinion is different from opinions expressed in conventional polls. It is more volatile and responds to the world more quickly than a poll. From the results, online public opinion provides a different political landscape compared to traditional offline surveys. Online attitudes can explain a president’s legislative success in South Korea, while the old measure has no significance. Moreover, the two types of public opinion have different determinants, which indicates that distinct issues affect a particular public. The dissertation demonstrates how to measure and utilize online public opinion. It also provides evidence that online attitudes deliver different perspectives about a political landscape.
    번역하기

    Public Opinion is a fundamental element of democracy. Democratic systems reflect the various preferences of its people through elections. Public opinion influences elections and elected officials of legislative and executive bodies attempt to incorpor...

    Public Opinion is a fundamental element of democracy. Democratic systems reflect the various preferences of its people through elections. Public opinion influences elections and elected officials of legislative and executive bodies attempt to incorporate people’s desires into the system. Therefore, it is essential to understand the public’s aggregated sentiments. We measure public opinion through a survey method. This has not changed, although our way of communicating has greatly evolved since the introduction of the Internet. This dissertation explores a scientific method for gauging online public opinion using texts from the Internet and it demonstrates how the newly acquired data applies to existing political studies. The study focuses on presidential approval as a subject of analysis because of its popularity and stability in the field of political studies.
    This study recognizes that there is no single body of public opinion. There are groups with different interests, and each group can have a collective attitude. A polling method alone cannot discover all existing public opinions. The dissertation introduces a method for measuring an alternative public opinion, which utilizes online text data, to demonstrate that there is more than one public attitude. It also confirms that public sentiments expressed in online and offline environments are different and have particular political implications.
    The dissertation includes how to process text data of Twitter to fit into a machine learning algorithm and to calculate collected online sentiment. The entire process utilizes the Korean language, which is more complex than English. I compare three different neural networks and two types of data sets to obtain the optimal meaning of a text. The dissertation focuses on presidential approval as a proxy for public opinion. It is the most-used measure of public opinion in politics. The study finds that online public opinion is different than offline polls and that they each have unique political implications by comparing conventional methods of determining presidential approvals and the newly calculated online public opinion. Moreover, computer-generated public opinion fits into political models, which are used in the existing literature, to examine how online public opinion explains various political phenomena.
    The research has two main conclusions. First, in terms of methods, it is possible to obtain public opinion from online text data and the appropriate machined-learned algorithm. This technique can expand the scope of political research by reducing spatial and temporal restrictions in collecting public opinion. It also resolves a common public opinion problem, that polls require significant resources. Second, the research reveals that online public opinion is different from opinions expressed in conventional polls. It is more volatile and responds to the world more quickly than a poll. From the results, online public opinion provides a different political landscape compared to traditional offline surveys. Online attitudes can explain a president’s legislative success in South Korea, while the old measure has no significance. Moreover, the two types of public opinion have different determinants, which indicates that distinct issues affect a particular public. The dissertation demonstrates how to measure and utilize online public opinion. It also provides evidence that online attitudes deliver different perspectives about a political landscape.

    더보기

    목차 (Table of Contents)

    • Chapter 1. Introduction 1
    • A. Public Opinion and Its Unchanged Significance in Politics 1
    • B. The Approach 4
    • Chapter 2. Literature Review 7
    • A. Understanding Public Opinion in Politics 7
    • Chapter 1. Introduction 1
    • A. Public Opinion and Its Unchanged Significance in Politics 1
    • B. The Approach 4
    • Chapter 2. Literature Review 7
    • A. Understanding Public Opinion in Politics 7
    • B. Political Interests in Presidential Approval 9
    • C. Studies of Presidential Approval in South Korea 11
    • D. Online Public Opinion and its Qualities 12
    • E. Approaches to Estimate Online Public Opinion 14
    • Chapter 3. Method to Measure Public Opinion Using Online Texts 17
    • A. Structure of the Method 18
    • B. Nature of Data Gathered 20
    • C. Translating Words to Language of a Computer 25
    • D. Making a Machine to Learn a Human Mind 28
    • Chapter 4. Assessment of the Method 36
    • A. Comparing the Performance of Different Combinations 36
    • B. Predicting Public Opinion Towards the President in the Online World 43
    • C. Performance of Online Public Opinion Compared to Traditional Polls 49
    • D. Understanding of the Method and its Outcomes 64
    • Chapter 5. Application I: Presidential Approval and Legislative Success 66
    • A. Legislative Success and Its Influencers 68
    • B. Models to Demonstrate Impact to Legislative Success 70
    • C. Explaining Relationship between Factors and Legislative Success 79
    • D. Summary 92
    • Chapter 6. Application II: What Determines Presidential Approval 96
    • A. Potential Determinants of Presidential Approval 98
    • B. How to Illustrate Effect of Influencing Factors 100
    • C. Empirical Analysis on Impact of Determinants 107
    • D. Summary 118
    • Chapter 7. New Technology, New Data, and the Future of Politics 122
    • A. Adaptation of New Data and Technology 123
    • B. Limitations and Future Research 126
    • References 128
    • Abstract in Korean Language 140
    • Appendix I. Basic Statistics of Data Sets 142
    • Appendix II. Basic Statistics of Training Data Sets 144
    • Appendix III. Hand-Coding Guidelines 147
    • Appendix IV. Logic Trees of All Combinations 149
    더보기

    참고문헌 (Reference)

    1. The macro polity, R. S.MacKuenM. B.Stimson , J . A ., Cambridge University Press, , 2002

    2. Presidential power, R. E., New York : New American Library, , 1960

    3. Long short-term memory, Hochreiter , S.Schmidhuber , J ., Neural computation9 ( 8 ) , 1735-1780, , 1997

    4. The Presidential Agenda, R. T., Sources of Executive Influence in Congress , Columbus, , 2006

    5. Attention is all you need, Vaswani , A.Shazeer , N.Parmar , N.Uszkoreit , J.Jones , L.GomezA. N....Polosukhin , I ., In Advances in neural information processing systems ( pp . 5998-6008, , 2017

    6. Understanding public opinion, C. D., a guide for newspapermen and newspaper readersWC Brown Co .., , 1952

    7. Public opinion in a democracy, G. H., Princeton University Press,

    8. Do the polls serve democracy ?, RanneyJ. C., Public Opinion Quarterly10 ( 3 ) , 349-360, , 1946

    9. How ( not ) to predict elections, P. T.Mustafaraj , E.Gayo-Avello , D., Proceedings of the 2011 IEEE Third International Conference on Privacy , Security , Risk and Trust and 2011 IEEE Third International Conference on Social Computing ( pp . 165-171 ) . IEEE, , 2011

    10. Public Evaluations of Presidents, Newman , B.Gronke , P., The Oxford Handbook of the American Presidency, , 2009

    1. The macro polity, R. S.MacKuenM. B.Stimson , J . A ., Cambridge University Press, , 2002

    2. Presidential power, R. E., New York : New American Library, , 1960

    3. Long short-term memory, Hochreiter , S.Schmidhuber , J ., Neural computation9 ( 8 ) , 1735-1780, , 1997

    4. The Presidential Agenda, R. T., Sources of Executive Influence in Congress , Columbus, , 2006

    5. Attention is all you need, Vaswani , A.Shazeer , N.Parmar , N.Uszkoreit , J.Jones , L.GomezA. N....Polosukhin , I ., In Advances in neural information processing systems ( pp . 5998-6008, , 2017

    6. Understanding public opinion, C. D., a guide for newspapermen and newspaper readersWC Brown Co .., , 1952

    7. Public opinion in a democracy, G. H., Princeton University Press,

    8. Do the polls serve democracy ?, RanneyJ. C., Public Opinion Quarterly10 ( 3 ) , 349-360, , 1946

    9. How ( not ) to predict elections, P. T.Mustafaraj , E.Gayo-Avello , D., Proceedings of the 2011 IEEE Third International Conference on Privacy , Security , Risk and Trust and 2011 IEEE Third International Conference on Social Computing ( pp . 165-171 ) . IEEE, , 2011

    10. Public Evaluations of Presidents, Newman , B.Gronke , P., The Oxford Handbook of the American Presidency, , 2009

    11. Economic voting : an introduction, Lewis-BeckM. S.Paldam , M., Electoral Studies , 19 ( 2-3 ) , 113-121, , 2000

    12. Toward a science of public opinion, Allport , F., Public Opinion Quarterly1 ( 1 ) , 7 23. ?,

    13. April 6RNN , LSTM & GRU [ Blog post, dprogrammer ., Retrieved from http, , 2019

    14. Population bias in geotagged tweets, Malik , M. M.Lamba , H.Nakos , C.Pfeffer , J ., People , 1 ( 3,759.710 ) , 3-759, , 2015

    15. Presidents and the prospective voter, Norpoth , H., The Journal of Politics58 ( 3 ) , 776-792, , 1996

    16. A neural probabilistic language model, Bengio , Y.Ducharme , R.Vincent , P.Jauvin , C., Journal of machine learning research , 3 ( Feb ) , 1137-1155, , 2003

    17. Big data , social media , and protest, Tucker , J . A.Nagler , J.MacDuffee , M. , MetzgerP. B.Penfold-Brown , D.Bonneau , R., Computational social science , 199, , 2016

    18. Sentiment analysis and opinion mining, Liu , Bing, Chicago , IL : Morgan & Claypool . Loria , S.TextBlob Documentation . Release 0.15 , 2, , 20122018

    19. War , presidents , and public opinion, Mueller , J. E., John Wiley & Sons, , 1973

    20. The demographics of social media users, Duggan , M.Brenner , J ., Vol . 14 ) . Washington , DC : Pew Research Center 's Internet & American Life Project, , 20132012

    21. The president in the legislative arena, J. R.Fleisher , R., University of Chicago Press, , 1990

    22. Outsourcing Democracy and Opinion Polling, Jung , H., EAI Opinion Review , 2015.5 , 1-12, , 2015

    23. Approval Ratings of President Roh Moo-hyun, Ka , S , No , K., Korean Party Studies Review9 ( 2 ) , 61-86, , 2010

    24. Sequential thought processes in PDP models, D. E.Smolensky , P.McClellandJ. L.Hinton , G., Parallel distributed processing : explorations in the microstructures of cognition , 2 , 3-57, , 1986

    25. Live research : Twittering an election debate, Elmer , G., New media & society , 15 ( 1 ) , 18-30, , 2013

    26. Presidential approval and legislative success, Canes Wrone , B.De Marchi , S., ? Journal of Politics64 ( 2 ) , 491-509, , 2002

    27. Economic influences on presidential popularity, K. R., Public Opinion Quarterly42 ( 3 ) , 360-369, , 1978

    28. How Robust is the Vote Function ? : A Study of, Paldam , M., Economics and politics : the calculus of support , 9, , 1991

    29. Presidential popularity from Truman to Johnson, Mueller, J. E., The American Political Science Review64 ( 1 ) , 18-34, , 1970

    30. Enriching word vectors with subword information, Bojanowski , P.Grave , E.Joulin , A.Mikolov , T., Transactions of the Association for Computational Linguistics , 5 , 135-146, , 2017

    31. Measuring public opinion with social media data, nja , M. , BarberP. , BeauchampN.Nagler , J.Tucker , J ., The Oxford Handbook of Polling and Survey Methods, , 2017

    32. Social networking sites and our lives ( Vol . 1, K. N.Goulet , L. S.Rainie , L.Purcell , K., Washington , DC : Pew Internet & American Life Project, , 2011

    33. The impact of events on presidential popularity, R. A.Page , B. I ., Wildavsky , A . ( Ed . ) , Perspectives on the Presidency ( pp . 136-148 ) . Little Brown, , 1975

    34. Understanding the demographics of twitter users, Mislove , A. , LehmannS. , AhnY. Y.OnnelaJ. P.Rosenquist , J. N., Icwsm , 11 ( 5th ) , 25, , 2011

    35. Presidential leadership : Politics and policy making, Edwards IIIG. C.Wayne , S. J ., Cengage Learning, , 2013

    36. Men , women and the dynamics of presidential approval, H. D.StewartM. C.Ault , M.Elliott , E., British Journal of Political Science35 ( 1 ) , 31-51, , 2005

    37. Who Leads Whom ? Presidents , policy , and the public, Canes-Wrone , B ., The University of Chicago Press, , 2006

    38. Public support for American presidents : A cyclical model, Stimson, J. A., Public Opinion Quarterly40 ( 1 ) , 1-21, , 1976

    39. Economic Voting in the 14th Presidential Election in Korea, Pak , K., Korean Political Science Review , 27 ( 1 ) , 185-208, , 1993

    40. Analysis on SNS ( Social Network Service ) Trends and Usage, Kim , Y ., KISDI STAT Report , 19 ( 10 ) , 2-7, , 2019

    41. Backpropagation applied to handwritten zip code recognition, LeCun , Y.Boser , B. , DenkerJ. S.Henderson , D.HowardR. E.Hubbard , W.Jackel , L. D., Neural computation1 ( 4 ) , 541-551, , 1989

    42. Neural machine translation of rare words with subword units, Sennrich , R.Haddow , B.Birch , A ., arXiv:1508.07909, , 2015

    43. Efficient estimation of word representations in vector space, Mikolov , T.Chen , K.Corrado , G.Dean , J ., arXiv:1301.3781, , 2013

    44. Living up to expectations : Public attitudes toward Congress, KimballD. C.Patterson , S. C., The Journal of Politics59 ( 3 ) , 701-728, , 1997

    45. Public opinion infrastructures : Meanings , measures , media, Herbst , S., Political Communication , 18 ( 4 ) , 451 464 ?, , 2001

    46. Economics, politics, and the cycle of presidential popularity, Norpoth, H., Political Behavior6 ( 3 ) , 253-273, , 1984

    47. Partisan dynamics and the volatility of presidential approval, Kriner , D.Schwartz , L., British Journal of Political Science39 ( 3 ) , 609-631, , 2009

    48. Politics of Time : What factors influence legislation speed ?, Jeon , JKim , I , Yoon , Y ., Korean Party Studies Review18 ( 4 ) , 201-228, , 2019

    49. Presidential position taking and the puzzle ? of representation, Eshbaugh Soha , M.Rottinghaus , B ., Presidential Studies Quarterly43 ( 1 ) , 1-15, , 2013

    50. Understanding the political representativeness of Twitter users, P. ,Rivero , G., Social Science Computer Review33 ( 6 ) , 712-729, , 2015

    51. ) . Public opinion does not exist . In Mattelart) , News and the, citizens ( ppYork : InternationalBrace, & Hinckley, ) . Follow the leader : Opinion polls and the modern presidents ., , P..

    52. The economic determinants of US presidential approval : A survey, Berlemann , M.Enkelmann , S., European Journal of Political Economy , 36 , 41-54, , 2014

    53. Tweets and votes : A study of the 2011 singapore general election, Skoric , M. , PoorN. , AchananuparpP. , LimE. P.Jiang , J ., Proceedings of the 2012 45th hawaii international conference on system sciences ( pp . 2583-2591 ) . IEEE, , 2012

    54. Promise and Performance : A Dynamic Model of Presidential Popularity, Ostrom , C.Simon , D., American Political Science Review79 ( 2 ) , 334-358, , 1985

    55. The 2007 Presidential Election and Effects of North Korean Variables, Kim , Y ., The Journal of Political Science &Communication , 10 ( 2 ) , 65-77, , 2007

    56. Affective news : the automated coding of sentiment in political texts, Young , LSoroka , S., Political Communication , 29 , 205 231. ?, , 2012

    57. Neural machine translation by jointly learning to align and translate, Bahdanau , D.Cho , K.Bengio , Y ., arXiv:1409.0473, , 2014

    58. “ Rally round the flag ” events for presidential approval research, Newman , B.Forcehimes , A ., Electoral Studies , 29 ( 1 ) , 144-154, , 2010

    59. Social media analysis and public opinion : The 2010 UK general election, Anstead , N.O'Loughlin , B ., Journal of Computer-Mediated Communication20 ( 2 ) , 204-220, , 2014

    60. Assessing the president : The media , elite opinion , and public support, Brody , R., Stanford University Press, , 1991

    61. Erikson, R. S., Tedin, K. L. (2015). American Public Opinion. Routledge., R. S.Tedin , K. L., American Public OpinionRoutledge, , 2015

    62. Presidential power : The politics of leadership from Roosevelt to Reagan, R. E., Simon and Schuster, , 1990

    63. Public opinion and opinion polling : Contradictions and controversies? ?, Splichal , S.J ., , 2012

    64. Wisdom of the Crowds ) 2 : 2010 UK Election Prediction with Social Media, Franch , F., Journal of Information Technology & Politics10 ( 1 ) , 57-71, , 2013

    65. The conditional nature of presidential responsiveness ? to public opinion, Canes Wrone , B.Shotts , K. W., American Journal of Political Science48 ( 4 ) , 690-706, , 2004

    66. From tweets to polls : Linking text sentiment to public opinion time series, O ’ ConnorB. , Balasubramanyan , R.B. R.Smith , N. A, Tepper School of Business , 559, , 2010

    67. 2018 ) . Public opinion in America :2010 ) . Sentiment strength detection in, ,,,, G. ,Di. , &, informal text . Journal of the American Society for Informationand Technology , 61 ( 12 ) :, , JA

    68. On using Twitter to monitor political sentiment and predict election results, Bermingham , A.Smeaton , A ., Proceedings of the Workshop on Sentiment Analysis where AI meets Psychology ( SAAIP 2011 ) ( pp . 2-10, , 2011November

    69. Rallying around the flag : Foreign policy events and presidential popularity, Lee , J. R., Presidential Studies Quarterly7 ( 4 ) , 252-256, , 1977

    70. The expectations gap thesis : Public attitudes toward an incumbent president, WatermanR. W.Jenkins-SmithH. C.Silva , C. L., The Journal of Politics61 ( 4 ) , 944-966, , 1999

    71. Lee, K. C. (2019). Korean Embedding. Seoul, South Korea. acorn publishing Co., Lee , K. C., Korean Embedding . Seoul , South Korea . acorn publishing Co, , 2019

    72. The rational public : Fifty years of trends in Americans ' policy preferences, PageB. I.Shapiro , R. Y ., University of Chicago Press, , 2010

    73. Tweet the debates : understanding community annotation of uncollected sources, D. A.Kennedy , L.Churchill , E. F., Proceedings of the first SIGMM workshop on Social media ( pp . 3-10 ) . ACM, , 2009

    74. Bert : Pre-training of deep bidirectional transformers for language understanding, Devlin , J. , ChangM. W.Lee , K.Toutanova , K., arXiv:1810.04805, , 2018

    75. A preliminary survey of the theories and findings on vote and popularity functions, Paldam , M., European Journal of Political Research9 ( 2 ) , 181-199, , 1981

    76. Modeling public mood and emotion : twitter senti-ment and socio-economic phenomena, Bollen , Johan.Pepe , Alberto.Mao , Huina .pp, Proceedings of the Fifth International AAAI Conference on Weblogs and Social Media ( ICWSMPalo Alto , CA : Association for the Advancement of Artificial Intelligence, , 20112011

    77. Political drama , economic conditions , and the dynamics of presidential popularity, MacKuen , M. B ., American Journal of Political Science , 165-192, , 1983

    78. The Effect of President Roh ’ s Approval Rating on the 2007 Presidential Election, Ka , S., Journal of Contemporary Politics1 ( 1 ) , 33-57, , 2008

    79. Election forecasts with Twitter : How 140 characters reflect the political landscape, Tumasjan , A. , SprengerT. O.SandnerP. G.Welpe , I. M., Social Science Computer Review , 29 ( 4 ) , 402 418 ?, , 2011

    80. Neural networks and physical systems with emergent collective computational abilities, Hopfield, J. J., Proceedings of the national academy of sciences79 ( 8 ) , 2554-2558, , 1982

    81. What Determines the Outcomes of National Assembly By ( Re ) -Elections in South Korea ?, Cho , JChoiJ. Y.Ka , S., Korean Political Science Review40 ( 2 ) , 75-98, , 2006

    82. Diurnal and seasonal mood vary with work , sleep , and daylength across diverse cultures, GolderS. A.Macy , M. W., Science , 333 : ( 6051 ) , 1878-1881, , 2011

    83. Passing the president 's program : Public opinion and presidential influence in Congress, Rivers , D.Rose , N. L., American Journal of Political Science , 183-196, , 1985

    84. After Egypt : The Limits and Promise of Online Challenges to the Authoritarian Arab State, Lynch , M., Perspectives on Politics , 301-310, , 2011

    85. Measuring the happiness of large-scale written expression : Songs , blogs , and presidents, DoddsP. S.Danforth , C. M., Journal of Happiness Studies11 ( 4 ) , 441-456, , 2009

    86. Economic Voting in the 17th Presidential Election : Economic Perception and Voting Behavior, Lee , J ., Journal of Contemporary Politics1 ( 1 ) , 111-136, , 2008

    87. Effects of Demographics and Personality Factors on Categorizing SNS Users into Three Groups, Lee , H.Yang , S., Korean Journal of Broadcasting and Telecommunication Studies31 ( 2 ) , 5-40, , 2017

    88. The VP-function : A survey of the literature on vote and popularity functions after 25 years, Nannestad , P.Paldam , M., Public Choice79 ( 3-4 ) , 213-245, , 1994

    89. Learning phrase representations using RNN encoder-decoder for statistical machine translation, Cho , K.Van MerrinboerB. , GulcehreC. , BahdanauD. , BougaresF.Schwenk , H.Bengio , Y ., arXiv:1406.1078, , 2014

    90. Mottl, Dmitry. (2019). GetOldTweets3 0.0.11. PyPI.org. https://pypi.org/project/GetOldTweets3/, Mottl , Dmitry ., GetOldTweets3 0.0.11 . PyPI.org . https, , 2019

    91. The dynamics of political support for American presidents among occupational and partisan groups, Hibbs JrD. A.RiversR. D.Vasilatos , N., American Journal of Political Science312-332, , 1982

    92. The structure of political discussion networks : a model for the analysis of online deliberation, Gonzalez-Bailon , S.Kaltenbrunner , A.Banchs , R. E., Journal of Information Technology25 ( 2 ) , 230-243, , 2010

    93. Emotional reactions and the pulse of public opinion : Measuring the impact of political events on, Gonzalez-Bailon , S. , BanchsR. E.Kaltenbrunner , A ., the sentiment of online discussions . arXiv:1009.4019, , 2010

    94. Seizing the moment : The presidential campaigns ’ use of Twitter during the 2012 electoral cycle, Kreiss , D., New media & society18 ( 8 ) , 1473-1490, , 2016

    95. Social media and the decision to participate in political protest : Observations from Tahrir Square, Tufekci , Z.Wilson , C., Journal of communication62 ( 2 ) , 363-379, , 2012

    96. Patriotism or opinion leadership ? The nature and origins of the “ rally'round the flag ” effect, Baker , W. D.Oneal , J. R., Journal of conflict resolution45 ( 5 ) , 661-687, , 2001

    97. SKTBrain. (2020. Feb 28). Korean BERT pre-trained cased (KoBERT). https://github.com/SKTBrain/KoBERT/, SKTBrain .Feb 28, Korean BERT pre-trained cased ( KoBERT ) . https, , 2020

    98. Temporal patterns of happiness and information in a global social network : Hedonometrics and twitter, P. S.Harris , K. D.KloumannI. M.BlissC. A.Danforth , C. M., PloS one6 ( 12 ) , e26752, , 2011

    99. The Law of Inevitable Decline of Presidential Popularity : Who Changes Presidential Support and Why ?, Moon , W., Korean Political Science Review46 ( 1 ) , 175-201, , 2012

    100. The aggregated consequences of motivated reasoning and the dynamics of partisan presidential approval, LeboM. J.Cassino , D., Political Psychology28 ( 6 ) , 719-746, , 2007

    101. Edwards III, G. C. (1989). At the margins: Presidential leadership of Congress. Yale University Press., Edwards IIIG. C., At the margins : Presidential leadership of Congress . Yale University Press, , 1989

    102. Foreign policy and presidential popularity : Creating windows of opportunity in the perpetual election, R. F.Ostrom JrC. W.Simon , D. M., Journal of Conflict Resolution34 ( 4 ) , 588-623, , 1990

    103. public opinion , and US presidential approval rates : A 5-year analysis of online political discussions, n , S.R. E.Kaltenbrunner , A ., Human Communication Research , 38 ( 2 ) , 121-143, , 2012

    104. Psephological investigations : Tweets , votes , and unknown unknowns in the republican nomination process, Jensen , M. J.Anstead , N., Policy & Internet , 5 ( 2 ) , 161-182, , 2013

    105. The dynamics of presidential support during international conflict situations : The Iranian hostage crisis, Sigelman , L.Conover , P. J ., Political behavior , 3 ( 4 ) , 303-318, , 1981

    106. Follow the leader ? Presidential approval , presidential support , and representatives ' electoral fortunes, Gronke , P.Koch , J.Wilson , J. M., The Journal of Politics65 ( 3 ) , 785-808, , 2003

    107. Social media and political communication . A survey of Twitter users during the 2013 Italian general election, Vaccari , C.Valeriani , A. , BarberP. , BonneauR. , JostJ. T.Nagler , J.Tucker , J ., Rivista italiana di scienza politica , 43 ( 3 ) , 381-410, , 2013

    108. Impact of Events and Issues on the Support Rates for the Candidates in the 16th Presidential Election in Korea, JungB. S.Song , K., 21st Century Political Science Review , 16 ( 3 ) , 119-150, , 2006

    109. The mass public and macroeconomic performance : The dynamics of public opinion toward unemployment and inflation, Hibbs JrD. A ., American Journal of Political Science , 705-731, , 1979

    110. A Study of Factors Influencing the Legislative Success of Presidential Bills from Kim Young-sam through Roh Mu-hyun, Shin , H., Journal of Social Science28 ( 1 ) , 95-127, , 2012

    111. Campbell, A., Converse, P. E., Miller, W. E., & Stokes, D. E. (1980). The American Voter. University of Chicago Press., Campbell , A. , ConverseP. E.Miller , W. E.Stokes , D. E., The American Voter . University of Chicago Press, , 1980

    112. The Dynamic Relations among Preisdential Approval , Parisan Support , and Prospective Econmic Judgement : The Korean Case, Cho , S.Han , G., 44 ( 2 ) , 161-186, , 2010

    113. A Study of Presidential Popularity : An Exploratory Study for Building an Integrated Model of Presidential Popularity in Korea, Jeon , Y. J ., 21st Century Political Science Review16 ( 1 ) , 67-90, , 2006

    114. Exploring the types of SNS use based on personality traits , offline activities , political orientations , and life satisfaction, Jin , B. R.Yang , J . A ., Korean Journal of Journalism & Communication Studies , 59 ( 5 ) , 239-271, , 2015

    115. Twitter and Facebook are not representative of the general population : Political attitudes and demographics of British social media users, Mellon , J.Prosser , C., Research & Politics , 4 ( 3, , 2017

    116. Articles : A Comparative Study of Korean and U.S Presidential Approval Ratings : Surge and Decline of Presidential Approval Ratings and Its Political Impacts, Ka , S., The Korean Journal of Area Studies24 ( 1 ) , 27-47, , 2006

    117. Vaswani, A., Bengio, S., Brevdo, E., Chollet, F., Gomez, A. N., Gouws, S., ... & Sepassi, R. (2018). Tensor2tensor for neural machine translation. arXiv:1803.07416., Vaswani , A. , BengioS. , BrevdoE. , CholletF. , GomezA. N.Gouws , S....Sepassi , R., Tensor2tensor for neural machine translationarXiv:1803.07416, , 2018

    118. Explaining presidential popularity : How ad hoc theorizing, misplaced emphasis, and insufficient care in measuring one's variables refuted common sense and led conventional wisdom down the path of anomalies, Kernell, S., American Political Science Review72 ( 2 ) , 506-522, , 1978

    더보기

    분석정보

    View

    상세정보조회

    0

    Usage

    원문다운로드

    0

    대출신청

    0

    복사신청

    0

    EDDS신청

    0

    동일 주제 내 활용도 TOP

    더보기

    주제

    연도별 연구동향

    연도별 활용동향

    연관논문

    연구자 네트워크맵

    공동연구자 (7)

    유사연구자 (20) 활용도상위20명

    이 자료와 함께 이용한 RISS 자료

    나만을 위한 추천자료

    해외이동버튼