Earticle

초록

영어

With the proliferation of the Internet and the huge amount of data it transfers, automatic text summarization is becoming more important. In this paper we first analyze some state of the art methods to text summarization., We also try to analyze one of the previous text summarization methods, "Machine learning Approach", and eliminate its shortcomings .Finally we present an approach to the design of an automatic text summarizer that generates a summary using fuzzy logic to obtain better results compared to previous methods.

목차

Abstract
 1. Introduction
 2. Summarization Approaches
  2.1. Statistical Approach
  2.2. Linguistic Approach
 3. A Review of Text Summarization Based on Machine Learning
 4. The Used Attribute in Text Summarization
 5. The problems of machine learning method and their solution
 6. Fuzzy logic
 7. Text summarization based on fuzzy logic
 8. Simulation Results
 9. Comparison
 10. Conclusion
 References

저자

• Farshad Kyoomarsi [ Islamic Azad University(Shahrekord branch) ]
• Hamid Khosravi [ International Center for Science & High Technology & Environmental Sciences , University of Shahid Bahonar Kerman ]
• Esfandiar Eslami [ Shahid Bahonar University of Kerman, The center of Excellence for Fuzzy system and applications ]
• Pooya Khosravyan Dehkordy [ Islamic Azad University(Shahrekord branch) ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Hybrid Information Technology

• 간기

  격월간

• pISSN

  1738-9968

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605