Agricultural product review is playing increasing role in finance websites. Since manual text summarization needs large human efforts and also time consuming, we propose automatic summarization for agricultural product review in this paper. Firstly, we formulate the agricultural product as a quintuple, and present a framework to extract the features from agricultural product. Then we exploit learning to rank method to identify key sentence in product review. Finally, sentence analysis method has been proposed to extract comparative information. Experimental results show that the proposed approaches outperform the existing research.
목차
Abstract 1. Introduction 2. Related Works 3. The Proposed Method 3.1. Agricultural Product Review Formulation 3.2. Agricultural Product Summarization Framework 3.3. Key Sentence Analysis 3.4. Comparative Sentence Analysis 4. Experiments 4.1. Feature Identification Result 4.2. Key Sentence Analysis Result 4.3. Comparative Sentence Analysis Result 5. Conclusion References
보안공학연구지원센터(IJUNESST) [Science & Engineering Research Support Center, Republic of Korea(IJUNESST)]
설립연도
2006
분야
공학>컴퓨터학
소개
1. 보안공학에 대한 각종 조사 및 연구
2. 보안공학에 대한 응용기술 연구 및 발표
3. 보안공학에 관한 각종 학술 발표회 및 전시회 개최
4. 보안공학 기술의 상호 협조 및 정보교환
5. 보안공학에 관한 표준화 사업 및 규격의 제정
6. 보안공학에 관한 산학연 협동의 증진
7. 국제적 학술 교류 및 기술 협력
8. 보안공학에 관한 논문지 발간
9. 기타 본 회 목적 달성에 필요한 사업
간행물
간행물명
International Journal of u- and e- Service, Science and Technology
간기
격월간
pISSN
2005-4246
수록기간
2008~2016
십진분류
KDC 505DDC 605
이 권호 내 다른 논문 / International Journal of u- and e- Service, Science and Technology Vol.9 No.11