IDEAS home Printed from https://ideas.repec.org/a/igg/jwltt0/v16y2021i4p1-11.html
   My bibliography  Save this article

A Cognitive Personal Assistant System to Enhance the Individual-Centric Research Capabilities

Author

Listed:
  • R. Gowtham

    (Department of Computer Science and Engineering, Amrita School of Engineering, Amrita Vishwa Vidyapeetham, Coimbatore, India)

  • Sanjay S. P.

    (Department of Computer Science and Engineering, Amrita School of Engineering, Amrita Vishwa Vidyapeetham, Coimbatore, India)

  • Shishir Kumar Shandilya

    (VIT Bhopal University, India)

  • S. Sountharrajan

    (VIT Bhopal University, India)

Abstract

The intelligent personal assistant system is designed to support the individual researchers to enhance their quality of the research through the natural language interface. Specifically, this system automatically provides intrinsic details about the importance of the topic of discussion using the timeline analysis. The results generated by the system help the researchers to understand the preference of the global researchers in the specific research field. This system primarily identifies the core topic of the discussion from the user's presentation. Further, the importance of the topic is calculated based on the research articles published over three decades in the related field. The experimental results confirm that the proposed method accurately identifies whether the research topic the user presented is HOT.

Suggested Citation

  • R. Gowtham & Sanjay S. P. & Shishir Kumar Shandilya & S. Sountharrajan, 2021. "A Cognitive Personal Assistant System to Enhance the Individual-Centric Research Capabilities," International Journal of Web-Based Learning and Teaching Technologies (IJWLTT), IGI Global, vol. 16(4), pages 1-11, July.
    • Handle: RePEc:igg:jwltt0:v:16:y:2021:i:4:p:1-11
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJWLTT.20210701.oa1
    Download Restriction: no
    ---><---

    More about this item

    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:igg:jwltt0:v:16:y:2021:i:4:p:1-11. 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: Journal Editor (email available below). General contact details of provider: https://www.igi-global.com .

    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.