Global natural and manmade events are exposing the fragility of the tourism industry and its
impact on the global economy. Prior to the COVID-19 pandemic, tourism contributed 10.3 …

Destination Image can be considered as both, a theoretical and practical tool, to better
understand how a destination is perceived in the minds of potential visitors. Given the im …

By using text mining techniques, this study identifies the topics of sustainable consumption
that are important during the COVID-19 pandemic. An Application Programming Interface …

Social media networking is a prominent topic in real life, particularly at the current moment.
The impact of comments has been investigated in several studies. Twitter, Facebook, and …

This study aims to identify the topics that users post on Twitter about organic foods and to
analyze the emotion-based sentiment of those tweets. The study addresses a call for an …

Stock price forecasting is a challenging task because financial time series are primarily
nonlinear, noisy, and disordered systems that are complicated to forecast. Deep learning …

Purpose This study aims to present a framework for automatically collecting, cleaning and
analyzing text (news articles, in this case) to provide valuable decision-making information …

Revisit intention is a key indicator of business performance, studied in many fields including
hospitality. This work employs big data analytics to investigate revisit intention patterns from …

Automatic discovery of underlying themes in a document collection is a valuable task across
many disciplines. Advanced techniques can be challenging for non-experts in data science …

This study forecasts both Halal tourism demand (HTD) and the financial performance of
Halal tourism industry of Malaysia using machine learning. Based on the data over the …