Customer satisfaction is one of the most important measures in the hospitality industry.
Therefore, several psychological and cognitive theories have been utilized to provide …

Sentiment Analysis is a method to identify, extract, and quantify people's feelings, opinions,
or attitudes. The wealth of online data motivates organizations to keep tabs on customers' …

Data is essential for an organization to develop and make decisions efficiently and
effectively. Machine learning classification algorithms are used to categorize observations …

Nowadays sentiment analysis has become very important, mostly used for huge datasets
and helpful for researchers for applying methods and techniques. Amazon's food data is …

COVID-19 pandemic has caused a global health crisis, resulting in endless efforts to reduce
infections, fatalities, and therapies to mitigate its after-effects. Currently, large and fast-paced …

The COVID-19 pandemic has caused many entrepreneurs and small and medium
enterprises (SMEs) to adapt their business models and business strategies to the …

Purpose Research analyzing online travelers' reviews has boomed over the past years, but
it lacks efficient methodologies that can provide useful end-user value within time and …

The rapid growth of social media, news sites, and blogs increases the opportunity to express
and share an opinion on the Internet. Researchers from different fields take advantage of …

Sentiment analysis is the extraction and categorization of sentiments that have been
expressed in text data using text analysis techniques. Manifested by earlier studies …

In the last few years use of social networking sites has increased tremendously. People use
social media platforms to share their views on almost all subjects. These views are in …