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Product weighted taxonomy extraction using Twitter

Author

Listed:
  • Zaki Malik
  • Erfan Najmi
  • Khayyam Hashmi
  • M. Mustafa Rafique
  • Abdelmounaam Rezgui

Abstract

Social networks and microblogging websites such as Twitter have changed the face of the consumer product market. Nowadays, even before a new product comes to the market, or is to be announced, like at an Apple or Google event, users start the rumours/talk about the product design or specifications, and their expectations of it. With all this discussion, it is not only the product which affects the future success of the product, but various other factors which can directly or indirectly influence the user's perspective. In this work, we present an approach to extract the most important concepts related to a product, being discussed on Twitter. We believe that this weighted taxonomy can be used to predict the success of the product even before the official release, align marketing resources, etc. in a beneficial manner.

Suggested Citation

  • Zaki Malik & Erfan Najmi & Khayyam Hashmi & M. Mustafa Rafique & Abdelmounaam Rezgui, 2022. "Product weighted taxonomy extraction using Twitter," International Journal of Business Information Systems, Inderscience Enterprises Ltd, vol. 39(4), pages 497-515.
    • Handle: RePEc:ids:ijbisy:v:39:y:2022:i:4:p:497-515
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