IDEAS home Printed from https://ideas.repec.org/a/ids/ijbisy/v44y2023i3p325-338.html
   My bibliography  Save this article

Understanding user behaviour through sentiment analysis: an exploration through online reviews and comments

Author

Listed:
  • Balaji Kanagasabai
  • Vaneeta Aggarwal

Abstract

This research study is conducted on the Amazon reviews for the book, Thinking, Fast and Slow and the comments on the author's talk about the same on a YouTube video. A total of 585 reviews (12,731 words) about the book from Amazon and 158 comments (4,593 words) for Kahneman's talk on YouTube are analysed using the R software and the word clouds along with the sentiment analyses are done. We found that the word 'book' is highly used in Amazon reviews and the word 'system' is highly used in the YouTube comments. This paved a way for an interesting finding that people who see videos understand the core concepts better than those who read books as the video comments discussed more about systems of the brain. Both the Amazon reviews and YouTube comments have high 'positive' score in sentiment analysis; however, the negative and critical opinions are higher in YouTube comments.

Suggested Citation

  • Balaji Kanagasabai & Vaneeta Aggarwal, 2023. "Understanding user behaviour through sentiment analysis: an exploration through online reviews and comments," International Journal of Business Information Systems, Inderscience Enterprises Ltd, vol. 44(3), pages 325-338.
  • Handle: RePEc:ids:ijbisy:v:44:y:2023:i:3:p:325-338
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=134946
    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:ijbisy:v:44:y:2023:i:3:p:325-338. 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=172 .

    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.