Feizollah, Ali and Mostafa, Mohamed M. and Sulaiman, Ainin and Zakaria, Zalina and Firdaus, Ahmad (2021) Exploring halal tourism tweets on social media. Journal of Big Data, 8 (1). ISSN 2196-1115, DOI https://doi.org/10.1186/s40537-021-00463-5.
Full text not available from this repository.Abstract
This study explores tweets from Oct 2008 to Oct 2018 related to halal tourism. The tweets were extracted from twitter and underwent various cleaning processes. A total of 33,880 tweets were used for analysis. Analysis intended to (1) identify the topics users tweet about regarding halal tourism, and (2) analyze the emotion-based sentiment of the tweets. To identify and analyze the topics, the study used a word list, concordance graphs, semantic network analysis, and topic-modeling approaches. The NRC emotion lexicon was used to examine the sentiment of the tweets. The analysis illustrated that the word ``halal'' occurred in the highest number of tweets and was primarily associated with the words ``food'' and ``hotel''. It was also observed that non-Muslim countries such as Japan and Thailand appear to be popular as halal tourist destinations. Sentiment analysis found that there were more positive than negative sentiments among the tweets. The findings have shown that halal tourism is a global market and not only restricted to Muslim countries. Thus, industry players should take the opportunity to use social media to their advantage to promote their halal tourism packages as it is an effective method of communication in this decade.
| Item Type: | Article |
|---|---|
| Funders: | Malaysian Higher Education Consortium of Halal Institute, Ministry of Higher Education, Universiti Malaya [Grant No: MO 001-2018 & MO 002-2018] |
| Uncontrolled Keywords: | Halal; Halal tourism; Sentiment analysis; Twitter; Topic modeling |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
| Divisions: | Academy of Islamic Studies |
| Depositing User: | Ms Zaharah Ramly |
| Date Deposited: | 25 May 2022 01:10 |
| Last Modified: | 25 May 2022 01:10 |
| URI: | http://eprints.um.edu.my/id/eprint/34940 |
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