IDEAS home Printed from https://ideas.repec.org/a/ids/ijenma/v13y2022i1p19-36.html
   My bibliography  Save this article

Profile matching of online users across multiple social networks: a text mining approach

Author

Listed:
  • Deepesh Kumar Srivastava
  • Basav Roychoudhury

Abstract

Profile matching of a person using various online social networks is a non-trivial task. Major challenges in developing a reliable and scalable matching scheme include the non-availability of the required information or having contradictory information for the same user across these networks. In this study, we propose a method that utilises the contents generated by or shared with users across their online social networks. With the help of text mining techniques, we extract the high frequency words and common high frequency words in the user's posts/tweets (content attributes). Based on experiments with real datasets, this method provides 72.5% accuracy in identity matching amongst user's profiles. Given the data, we develop classification models, and we achieved accuracy and F1 score of 72.5% and 67.0%, respectively. This study will be helpful to enhance the accuracy of the identity resolution frameworks.

Suggested Citation

  • Deepesh Kumar Srivastava & Basav Roychoudhury, 2022. "Profile matching of online users across multiple social networks: a text mining approach," International Journal of Enterprise Network Management, Inderscience Enterprises Ltd, vol. 13(1), pages 19-36.
    • Handle: RePEc:ids:ijenma:v:13:y:2022:i:1:p:19-36
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=122402
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    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:ids:ijenma:v:13:y:2022:i:1:p:19-36. 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: Sarah Parker (email available below). General contact details of provider: http://www.inderscience.com/browse/index.php?journalID=187 .

    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.