텍스트의 긍정 부정 평가: 러시아 국립 코퍼스를 중심으로

• 영문명: Positive and Negative Evaluation of Texts: Based on Russian National Corpus
• 발행기관: 충북대학교 러시아 알타이지역 연구소
• 저자명: 김보라(Kim, Bora)
• 간행물 정보: 『러시아학』러시아학 제17호, 1~18쪽, 전체 18쪽
• 주제분류: 인문학 > 기타인문학
• 파일형태: PDF
• 발행일자: 2018.08.30

영문 초록

This research aims to design a complex data platform for analyzing public opinion data in order to provide valuable insights for devising digital diplomacy strategy and thus maximizing South Korea’s public diplomacy capacity towards Russia and Central Asian countries. Big data analytics can be a powerful tool for not only national security management but also diplomatic negotiation and national branding. In order to make big data accommodate foreign policy needs, it is crucial to develop a program for sentiment analysis of SNS texts and online articles regarding South Korea. Emotional analysis means judging and classifying whether the text is affirmative or negative. A macroscopic research goal is to grasp the attitudes of Russian media and Russian people towards Korea, and to suggest directions for maximizing the positive reaction towards Korea through analyzing sentiment on Internet bulletin boards, SNS and blogs. In this year, which is the first year of the research, we would like to evaluate how many texts and comments related to Korean politics exist on the Russian SNS and to estimate a possibility of the emotional analysis in Russian media. First, we examine the precedent researches related to the emotional analysis. Second, we try to judge which approach would produce more accurate results in analyzing emotions.

목차

I. 서론

II. 본론

III. 결론

키워드

감정분석 sentiment analysis 긍부정 평가 positive and negative evaluation 디지털 외교 digital diplomacy 감정어휘사전 dictionary of sentiment lexicon 기계학습 machine learning