딥러닝 기반 감성분석을 이용한 양파수급모형 구축

• 영문명: Modeling the Onion Market Using Sentiment Analysis with Deep Learning
• 발행기관: 한국농업경제학회
• 저자명: 조수민(Sumin Cho) 오정은(Jeong-Eun Oh) 백종현(Jong-Hyun Baek) 순병민(Byung Min Soon)
• 간행물 정보: 『농업경제연구』63권 3호, 33~54쪽, 전체 22쪽
• 주제분류: 경제경영 > 경제학
• 파일형태: PDF
• 발행일자: 2022.09.30

영문 초록

This study analyzed the effect of the sensitivity of news related to onions on producers' decision-making on cultivation areas and market supply and demand. We collected onion-related article data and derived the sentiment index through sentiment analysis using neural networkbased learning. We estimated the cultivation area function, including the sentiment index we made. We analyzed the impact of news sensitivity on the onion market by constructing an onion market supply and demand model. Then, we gave a sentiment index shock to the cultivation area to examine the impact on the onion market. We also explored the sensitivity analysis to emphasize the news in June, July, and August plays an important role in the supply side. To the best of our knowledge, our approach using sentiment index in the agricultural model is the first trial. Therefore, our study can introduce an approach to improve the accuracy of modeling for agriculture and apply it to the area of agricultural economics.

목차

Ⅰ. 서 론

Ⅱ. 연구방법

Ⅲ. 자료 및 시나리오 설정

Ⅳ. 감성분석 및 추정 결과

Ⅴ. 분석 결과

Ⅵ. 결 론

참고문헌

키워드

sentiment analysis deep learning onion model