Exploring halal tourism tweets on social media

• 出版年: Journal of Big Data
• 主要な著者: Ali Feizollah, Mohamed M. Mostafa, Ainin Sulaiman, Zalina Zakaria, Ahmad Firdaus
• フォーマット: 論文
• 言語: 英語
• 出版事項: SpringerOpen 2021-05-01
• 主題: Halal; Halal tourism; Sentiment analysis; Twitter; Topic modeling
• オンライン･アクセス: https://doi.org/10.1186/s40537-021-00463-5

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.