Chinese Journal of Network and Information Security ›› 2018, Vol. 4 ›› Issue (6): 1-10.doi: 10.11959/j.issn.2096-109x.2018048

• Comprehensive Review •     Next Articles

Research progress and trend of text summarization

Tuosiyu MING,Hongchang CHEN   

  1. National Digital Switching System Engineering &Technological R&D Center,Zhengzhou 450002,China
  • Revised:2018-06-01 Online:2018-06-15 Published:2018-08-08
  • Supported by:
    The National Natural Science Foundation of Youth Science(61601513)

Abstract:

With the explosive growth of information on the Internet,how to extract useful information from massive information has become a key technical issue.The text summarization technology can compress and extract refined and concise document information from big data,effectively reducing the user information overload problem,and it has become a research hotspot.The domestic and foreign text summarization methods and their concrete realization in recent years were analyzed,the advantages and disadvantages between traditional methods and deep learning summary methods were compared,and a reasonable outlook for future research directions was made.

Key words: big data, text summarization, machine learning, traditional methods, deep learning

CLC Number: