• DocumentCode
    3475016
  • Title

    Single document text summarization by Knowledge-Corpus

  • Author

    Dasari, Durga Bhavani ; Venu Gopala Rao, K.

  • Author_Institution
    Sri Indu Coll. of Eng. & Technol., Hyderabad, India
  • fYear
    2013
  • fDate
    20-22 Dec. 2013
  • Firstpage
    134
  • Lastpage
    138
  • Abstract
    The fast generation of large quantity of data, the main problem is the usage of valuable data, especially effectual restoration of terse and appropriate data id greatly preferred. On this subject, the importance of the characteristics that is chosen to review this document is initiated based on the Knowledge-Corpus. The Projected manuscript description method is reliant on a certain original calculating metrics known as Sentence coverage weight (scw), corpus coverage weight (ccw) and term coverage weight (tcw). Based on the investigational outcome analyzed by the ROUGE describes that the scw, ccw and tcw gives improved performance when compared to the usually seen term frequency based description.
  • Keywords
    data mining; text analysis; ROUGE; corpus coverage weight; effectual restoration; knowledge-corpus; projected manuscript description method; sentence coverage weight; single document text summarization; term coverage weight; Abstracts; Conferences; Frequency measurement; Fuzzy logic; Technological innovation; Weight measurement; corpus coverage; data mining; sentence coverage; text mining; text summarization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    MOOC Innovation and Technology in Education (MITE), 2013 IEEE International Conference in
  • Conference_Location
    Jaipur
  • Print_ISBN
    978-1-4799-1625-2
  • Type

    conf

  • DOI
    10.1109/MITE.2013.6756321
  • Filename
    6756321