Title: Product weighted taxonomy extraction using Twitter

Authors: Zaki Malik; Erfan Najmi; Khayyam Hashmi; M. Mustafa Rafique; Abdelmounaam Rezgui

Addresses: Department of Business Analytics, Texas A&M University – Commerce, USA ' Microsoft Corporation, Redmond, Washington, USA ' Department of Computer Science, Wayne State University, USA ' Department of Computer Science, Rochester Institute of Technology, USA ' School of Information Technology, Illinois State University, USA

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.

Keywords: social networks; taxonomy extraction; marketing.

DOI: 10.1504/IJBIS.2020.10026394

International Journal of Business Information Systems, 2022 Vol.39 No.4, pp.497 - 515

Received: 25 Apr 2019
Accepted: 05 Aug 2019

Published online: 16 May 2022 *

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