IDEAS home Printed from https://ideas.repec.org/h/spr/advbcp/978-94-6463-938-4_56.html

Diagnostic Analysis Of Market Sentiment towards the Merger of PT XL Axiata Tbk and PT Smartfren Telecom Tbk Using the Naive Bayes Algorithm

In: Proceedings of the International Conference on Applied Science and Technology on Social Science 2025 (iCAST-SS 2025)

Author

Listed:
  • Ida Bagus Gede Dananjaya

    (Bali State Polytechnic, Business Administration)

  • Usahana Wiguna Eka Saputra

    (Bali State Polytechnic, Business Administration)

  • Made Andy Pradana Sukarta

    (Bali State Polytechnic, Accounting Department)

  • Ida Bagus Sanjaya

    (Bali State Polytechnic, Business Administration)

  • Sang Nyoman Bagus Satya Wira

    (Bali State Polytechnic, Tourism Department)

Abstract

This study aims to analyze market sentiment towards the merger between PT XL Axiata Tbk and PT Smartfren Telecom Tbk using the Naive Bayes algorithm. Mergers are corporate actions that often influence market perception and investor decisions. In this context, market sentiment reflected through social media, particularly Twitter, is an important indicator for understanding public reaction to this corporate action. The collected tweet data was analyzed using the Naive Bayes algorithm to classify sentiment as positive or negative. Then, a diagnostic analysis was conducted to determine the cause of the sentiment by referring to the merger’s objective metrics. The resultsBased on the modeling results using the naive bayes algorithm with the CRISP-DM method, market sentiment towards the merger of PT. XL Axiata and PT. Smartfren is Positive 24, Neutral 317 and Negative 67, these results can be used as an alternative in making investment decisions. The diagnostic analysis results of market sentiment regarding the Merger of PT. XL Axiata and PT. Smartfren show that Technology Access is a critical area: Many hopes (positive), but more disappointments (negative). Reputation needs attention: Negative sentiment is 7x higher than positive. Market Expansion is relatively safe, but Operational Synergy has less impact (low positive/negative).

Suggested Citation

  • Ida Bagus Gede Dananjaya & Usahana Wiguna Eka Saputra & Made Andy Pradana Sukarta & Ida Bagus Sanjaya & Sang Nyoman Bagus Satya Wira, 2025. "Diagnostic Analysis Of Market Sentiment towards the Merger of PT XL Axiata Tbk and PT Smartfren Telecom Tbk Using the Naive Bayes Algorithm," Advances in Economics, Business and Management Research, in: Muhammad Udin Harun Al Rasyid & Nurul Fahmi & Yuliana Sukarmawati & I Wayan Sutina & Upayana Wiguna (ed.), Proceedings of the International Conference on Applied Science and Technology on Social Science 2025 (iCAST-SS 2025), pages 491-500, Springer.
    • Handle: RePEc:spr:advbcp:978-94-6463-938-4_56
    DOI: 10.2991/978-94-6463-938-4_56
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    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:spr:advbcp:978-94-6463-938-4_56. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.