IDEAS home Printed from https://ideas.repec.org/a/ibn/masjnl/v11y2017i4p1.html
   My bibliography  Save this article

The Study of Semantic Analysis on Intelligence Research under the Environment of Big Data

Author

Listed:
  • Hong Gu
  • Hongwei Yuan

Abstract

Faced with complex, large mass of data, how to find the information we need from these data, then to do intelligence research, it is an issue of concern in the intelligence community. This paper analyzes the significance of research and three technologies to ensure the rigor of intelligence research- visualization, data mining and semantic analysis technology, focuses on the semantic analysis technology in the application of intelligence research, exemplified by the semantic role annotation and semantic-based text orientation analysis of two methods, described the meaning of these two methods, the semantic database, the basic flow of information, their strengths and weaknesses, as well asdevelopment and raised its outlook in information research.

Suggested Citation

  • Hong Gu & Hongwei Yuan, 2017. "The Study of Semantic Analysis on Intelligence Research under the Environment of Big Data," Modern Applied Science, Canadian Center of Science and Education, vol. 11(4), pages 1-1, April.
    • Handle: RePEc:ibn:masjnl:v:11:y:2017:i:4:p:1
    as

    Download full text from publisher

    File URL: https://ccsenet.org/journal/index.php/mas/article/download/65793/35569
    Download Restriction: no
    File URL: https://ccsenet.org/journal/index.php/mas/article/view/65793
    Download Restriction: no
    ---><---

    More about this item

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ibn:masjnl:v:11:y:2017:i:4:p:1. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Canadian Center of Science and Education (email available below). General contact details of provider: https://edirc.repec.org/data/cepflch.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.