Survey shows machine learning and lexicon methods extracting sentiment in halal tourism, indicating an expanding interest in Muslim traveler sentiments.
Key Points
Sentiment analysis reveals tourist sentiments about halal tourism products and services, highlighting industry growth.
Various machine learning algorithms, such as BERT and Random Forest, effectively extract sentiment polarity in halal tourism.
The survey encompasses critical halal tourism sectors, including food, hotels, and finance, underscoring sentiment analysis significance.
Understanding sentiments in halal tourism can improve product offerings and enhance traveler experiences, supporting future research.