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      KCI우수등재

      초록데이터를 활용한 국내외 FTA 연구동향: 2000-2020

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      https://www.riss.kr/link?id=A107138918

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      다국어 초록 (Multilingual Abstract)

      This study aims to provide the implications of research development by comparing domestic and international studies conducted on the subject of FTA. To this end, among the papers written during the period from 2000 to July 23, 2020, papers whose title is searched by FTA (Free Trade Agreement) were selected as research data. In the case of domestic research, 1,944 searches from the Korean Citation Index (KCI) and 970 from the Web of Science and SCOPUS were selected for international research, and the research trend was analyzed through keywords and abstracts. Frequency analysis and word embedding (Word2vec) were used to analyze the data and visualized using t-SNE and Scattertext.
      The results of the analysis are as follows. First, in the top 30 keywords of domestic and international research, 16 out of 30 were found to be the same. In domestic research, many studies have been conducted to analyze the outcomes or expected effects of countries that have concluded or discussed FTAs with Korea, on the other hand there are diverse range of study subjects in international research. Second, in the word embedding analysis, t-SNE was used to visually represent the research connection of the top 60 keywords. Finally, Scattertext was used to visually indicate which keywords were frequently used in studies from 2000 to 2010, and from 2011 to 2020.
      This study is the first to draw implications for academic development through abstract and keyword analysis by applying various text mining approaches to the FTA related research papers. Further in-depth research is needed, including collecting a variety of FTA related text data, comparing and analyzing FTA studies in different countries.
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      This study aims to provide the implications of research development by comparing domestic and international studies conducted on the subject of FTA. To this end, among the papers written during the period from 2000 to July 23, 2020, papers whose title...

      This study aims to provide the implications of research development by comparing domestic and international studies conducted on the subject of FTA. To this end, among the papers written during the period from 2000 to July 23, 2020, papers whose title is searched by FTA (Free Trade Agreement) were selected as research data. In the case of domestic research, 1,944 searches from the Korean Citation Index (KCI) and 970 from the Web of Science and SCOPUS were selected for international research, and the research trend was analyzed through keywords and abstracts. Frequency analysis and word embedding (Word2vec) were used to analyze the data and visualized using t-SNE and Scattertext.
      The results of the analysis are as follows. First, in the top 30 keywords of domestic and international research, 16 out of 30 were found to be the same. In domestic research, many studies have been conducted to analyze the outcomes or expected effects of countries that have concluded or discussed FTAs with Korea, on the other hand there are diverse range of study subjects in international research. Second, in the word embedding analysis, t-SNE was used to visually represent the research connection of the top 60 keywords. Finally, Scattertext was used to visually indicate which keywords were frequently used in studies from 2000 to 2010, and from 2011 to 2020.
      This study is the first to draw implications for academic development through abstract and keyword analysis by applying various text mining approaches to the FTA related research papers. Further in-depth research is needed, including collecting a variety of FTA related text data, comparing and analyzing FTA studies in different countries.

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      참고문헌 (Reference)

      1 서정민, "텍스트 마이닝을 이용한 한국의 기체결 RTA 비교 분석" (사)한국국제경제법학회 17 (17): 25-48, 2019

      2 임목삼, "리스크관리 측면에서 FTA 연구동향 분석" 한국무역상무학회 78 : 119-143, 2018

      3 Maaten, L, "Visualizing data using t-SNE" 9 : 2579-2605, 2008

      4 Kessler, J. S, "Scattertext: a Browser-Based Tool for Visualizing how Corpora Differ" 2017

      5 Pennington, J., "GloVe: Global Vectors forWord Representation" 1532-1543, 2014

      6 윤희영, "FTA의 연구동향과 향후 연구방향 제언" 한국전자무역연구소 13 (13): 71-90, 2015

      7 Mikolov, T, "Distributed Representations of Words and Phrases and their Compositionality" 2013

      1 서정민, "텍스트 마이닝을 이용한 한국의 기체결 RTA 비교 분석" (사)한국국제경제법학회 17 (17): 25-48, 2019

      2 임목삼, "리스크관리 측면에서 FTA 연구동향 분석" 한국무역상무학회 78 : 119-143, 2018

      3 Maaten, L, "Visualizing data using t-SNE" 9 : 2579-2605, 2008

      4 Kessler, J. S, "Scattertext: a Browser-Based Tool for Visualizing how Corpora Differ" 2017

      5 Pennington, J., "GloVe: Global Vectors forWord Representation" 1532-1543, 2014

      6 윤희영, "FTA의 연구동향과 향후 연구방향 제언" 한국전자무역연구소 13 (13): 71-90, 2015

      7 Mikolov, T, "Distributed Representations of Words and Phrases and their Compositionality" 2013

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      학술지 이력

      학술지 이력
      연월일 이력구분 이력상세 등재구분
      2022 평가예정 계속평가 신청대상 (등재유지)
      2017-01-01 평가 우수등재학술지 선정 (계속평가)
      2013-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2010-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2008-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2006-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2004-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2001-01-01 평가 등재학술지 선정 (등재후보2차) KCI등재
      1998-07-01 평가 등재후보학술지 선정 (신규평가) KCI등재후보
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      학술지 인용정보

      학술지 인용정보
      기준연도 WOS-KCI 통합IF(2년) KCIF(2년) KCIF(3년)
      2016 1.01 1.01 1.06
      KCIF(4년) KCIF(5년) 중심성지수(3년) 즉시성지수
      0.98 0.9 1.149 0.19
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