IDEAS home Printed from https://ideas.repec.org/a/vrs/ijsiel/v13y2023i1p59-66n7.html
   My bibliography  Save this article

Sentiment Analysis Using Bert Model

Author

Listed:
  • Manuel-Ilie Dorca

    (Computer Science and Electrical and Electronics Engineering Department, Faculty of Engineering, “Lucian Blaga” University of Sibiu, Romania)

  • Gabriel Pitic Antoniu

    (Computer Science and Electrical and Electronics Engineering Department, Faculty of Engineering, “Lucian Blaga” University of Sibiu, Romania)

  • George Crețulescu Radu

    (Computer Science and Electrical and Electronics Engineering Department, Faculty of Engineering, “Lucian Blaga” University of Sibiu, Romania)

Abstract

The topic of this presentation entails a comprehensive investigation of our sentiment analysis algorithm. The document provides a thorough examination of its theoretical underpinnings, meticulous assessment criteria, consequential findings, and an enlightening comparative analysis. Our system makes a substantial contribution to the field of sentiment analysis by using advanced techniques based on deep learning and state-of-the-art architectures.

Suggested Citation

  • Manuel-Ilie Dorca & Gabriel Pitic Antoniu & George Crețulescu Radu, 2023. "Sentiment Analysis Using Bert Model," International Journal of Advanced Statistics and IT&C for Economics and Life Sciences, Sciendo, vol. 13(1), pages 59-66, December.
  • Handle: RePEc:vrs:ijsiel:v:13:y:2023:i:1:p:59-66:n:7
    DOI: 10.2478/ijasitels-2023-0007
    as

    Download full text from publisher

    File URL: https://doi.org/10.2478/ijasitels-2023-0007
    Download Restriction: no

    File URL: https://libkey.io/10.2478/ijasitels-2023-0007?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    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:vrs:ijsiel:v:13:y:2023:i:1:p:59-66:n:7. 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: Peter Golla (email available below). General contact details of provider: https://www.sciendo.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.