한국문헌정보학회지 (Journal of the Korean Society for Library and Information Science)

한국문헌정보학회 (Korean Society For Library And Information Science)
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심층 주제, 지역, 장르를 모두 분류할 수 있는 다면적 뉴스 기사 자동 분류 모델 연구

Research on Multi-facted News Article Classification Models Classifying Subjects, Geographies and Genres

  • 이효진 (경기대학교 문헌정보학과) ;
  • 최성필 (경기대학교 문헌정보학과)
  • Hyojin Lee ;
  • SungPil Choi
  • 투고 : 2024.07.26
  • 심사 : 2024.08.20
  • 발행 : 2024.08.31
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초록

본 연구는 한국어 사전학습 모델을 활용하여 뉴스 기사를 주제, 장르, 지역별로 각각 분류하는 모델을 구축하였다. 이를 위해 국내 언론사의 분류체계를 참고하여 새로운 뉴스 기사 분류체계를 설계하였다. 주제 및 장르 분류 모델은 대분류와 중분류 모델을 연결한 계층적 구조의 분류 모델로 구현하여 카테고리 통합 모델의 성능과 비교하였다. 평가 결과, 계층적 구조의 분류 모델은 모호하거나 중복된 카테고리에서 카테고리 통합 모델보다 더 명확한 분류를 수행할 수 있다는 이점이 있었다. 뉴스 기사의 지역적 분류를 위해서는 18개의 카테고리에 대하여 분류를 수행하는 모델을 구축하였으며 지역 관련 뉴스 기사의 경우, 지역적 특성이 본문에 명확히 드러나 높은 성능을 기록할 수 있었다. 본 연구는 주제, 장르, 지역의 다각적인 측면에서 뉴스 기사를 효과적으로 분류할 수 있음을 보여주었으며, 이를 통해 사용자 요구에 부합하는 다차원적 뉴스 기사 분류 서비스의 가능성을 제시한 점에서 의의가 있다.

This study developed a model to classify news articles into categories of topic, genre, and region using a Korean Pre-trained Language model. To achieve this, a new news article classification system was designed by referring to the classification systems of domestic media outlets. The topic and genre classification models were implemented as hierarchical classification models that link the main categories and subcategories, and their performance was compared with that of an integrated category model. The evaluation results showed that the hierarchical structure classification model had the advantage of providing more precise categorization in ambiguous or overlapping categories compared to the integrated category model. For regional classification of news articles, a model was built to classify into 18 categories, and for regional news articles, the regional characteristics were clearly reflected in the text, resulting in high performance. This study demonstrated the effectiveness of classifying news articles from multiple perspectives-topic, genre, and region-and emphasized the significance of suggesting the potential for a multi-dimensional news article classification service that meets user needs.

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참고문헌

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