Title: Mining consumers' sentiments toward halal cosmetics: a text analytics approach

Authors: Ali Feizollah; Mohamed M. Mostafa; Ainin Sulaiman; Zalina Zakaria

Addresses: UM Halal Research Centre, University of Malaya, 50603, Kuala Lumpur, Malaysia; Department of Computer System and Technology, Faculty of Computer Science and Information Technology, Universiti Malaya, Kuala Lumpur, 50603, Malaysia ' Gulf University for Science and Technology, West Mishref, Kuwait ' UM Halal Research Centre, University of Malaya, 50603, Kuala Lumpur, Malaysia ' UM Halal Research Centre, University of Malaya, 50603, Kuala Lumpur, Malaysia; Academy of Islamic Studies, Universiti Malaya, 50603 Kuala Lumpur, Malaysia

Abstract: Although social media plays an important role in mining consumers' opinions, there is no previous research examining consumers' sentiments toward halal cosmetics, thus this study examined halal cosmetics tweets. A total of 8,932 halal cosmetics tweets were collected through a custom Python script. To conduct the analysis, a text mining approach was used. Using semantic networks, the study identifies major popular skincare, lipstick and halal nail polish brands. The findings are of great potential importance to companies producing halal cosmetics, as they can provide insights into promoting halal cosmetics brands online. Marketers can also design their advertising campaigns based on positive tweets of users of halal cosmetics. This work contributes to the debate on behaviours of different consumers on social media by examining the sentiments and opinions expressed by them. Additionally, the study expands the literature pertaining to consumers' sentiment towards shariah based products via social media instead of the normal survey.

Keywords: cosmetics; halal cosmetics; social media; twitter; sentiment analysis; text analytics.

DOI: 10.1504/IJBIS.2026.152209

International Journal of Business Information Systems, 2026 Vol.51 No.3, pp.343 - 359

Received: 07 Aug 2021
Accepted: 26 Jun 2022
Published online: 11 Mar 2026 *

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