원문정보
보안공학연구지원센터(IJUNESST)
International Journal of u- and e- Service, Science and Technology
Vol.9 No.11
2016.11
pp.95-104
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
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
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
저자정보
참고문헌
자료제공 : 네이버학술정보