식품과학과 산업 (Food Science and Industry)

한국식품과학회 (Korean Society of Food Science and Technology)
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뉴스 데이터로부터 식품위해정보 자동 추출을 위한 인공지능 기술

AI-based system for automatically detecting food risk information from news data

  • 백유진 (한국과학기술원 인공지능 대학원) ;
  • 이지현 (한국과학기술원 인공지능 대학원) ;
  • 김남희 (김남희연구소) ;
  • 이헌주 (켐아이넷) ;
  • 주재걸 (한국과학기술원 인공지능 대학원)
  • 투고 : 2021.07.19
  • 심사 : 2021.08.11
  • 발행 : 2021.09.30
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초록

A recent advance in communication technologies accelerates the spread of food safety issues once presented by the news media. To respond to those safety issues and take steps in a timely manner, automatically detecting related information from the news data matters. This work presents an AI-based system that detects risk information within a food-related news article. Experts in food safety areas participated in labeling risk information from the food-related news articles; we acquired 43,527 articles in which food names and risk information are marked as labels. Based on the news document, our system automatically detects food names and risk information by analyzing similarities between words within a text by leveraging learned word embedding vectors. Our AI-based system shows higher detection accuracy scores over a non-AI rule-based system: achieving an absolute gain of +32.94% in F1 for the food name category and +41.53% for the risk information category.

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과제정보

본 연구는 2020년도 식품의약품안전처의 연구개발비(20162미래기374)로 수행되었으며 이에 감사드립니다.

참고문헌

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